State NameAverage Temperature in each StateRate of food insecurity (Percentage of population)GDP...

Question

State NameAverage Temperature in each StateRate of food insecurity (Percentage of population)GDP growth (Percentage)Labor Force Participation (Percentage of Labor Force)Obesity rates (Percentage of population)Poverty rate (Percentage of population)Percentage of Population with College DegreeUnemployment RateNet International Migration (Percentage of Population)Logarithm of State Tax Collections per CapitaLogarithm of Income per CapitaDummy variables for 7 regions in the US.a. Based on the information above, write the population regression function for the case where we would like to explain poverty rate as function of the following variables : GDP growth (Percentage), Labor Force Participation (Percentage of Labor Force), Percentage of Population with College Degree, Unemployment Rate and Logarithm of Income per Capita. Run this regression and show the results. Assess the overall significance of this model using the F test. Interpret each coefficient and explain which ones are significant in explaining the poverty rate.c. Test if, in this model, the relationship between poverty level and the log of income per capita is a quadratic one. If not, then continue with a linear specification.d. A researcher claims that the Obesity rate and the logarithm of Tax Collection per capita should be included in this model. Include these variables and run a test for the marginal contribution of both variables. Depending on the result of the test you should decide if you leave these variables in your equation or you remove them.e. Another researcher claims that international immigration should be positive related to poverty rates in different states. Include the Net International Immigration variable and test this hypothesis. If your results contradict this researcher, then you should not include this variable.f. Finally, another researcher claims that two important variables are the average temperature in each state and the rate of food insecurity. Add these two variables and test their marginal contributions. Explain if you decide to include these variables in your model.g. Test your final model for Multicollinearity. Show your results and explain if you decide to make any changes to your model.h. Include some dummy variables to account for regional differences. You can use the seven categories included at the end of the test. Include these dummy variables, run the regression and show the results. Explain if there are any regional differences. (Note: use New England as your benchmark category. Do not delete any dummy variable from your model).i. Run the RESET test for misspecification. Show the results. If you reject the null hypothesis, offer some ideas on variables that may be included to have a well-specified model.j. Test for heteroscedasticity, show your results. If you have heteroscedasticity, then coect for it and show the results. Explain your final results. How good is your model? What are the main variables that explain poverty?k. Predict the 95% confidence interval for the mean prediction of poverty for a state with the following characteristics:State Name: State is in the East South Central RegionAverage Temperature in each State: 61Rate of food insecurity (Percentage of population): 11.5GDP growth (Percentage): 1.5Labor Force Participation (Percentage of Labor Force): 77.0Obesity rates (Percentage of population): 30.0Poverty rate (Percentage of population)Percentage of Population with College Degree: 27Unemployment Rate: 4.1Net International Migration (Percentage of Population): 0.001Logarithm of State Tax Collections per Capita: 7.2Logarithm of Income per Capita: 10.5States by Region:· New England: Connecticut, Main, Massachusetts, New Hampshire, Rhode Island, and Vermont· Mid-Atlantic: New Jersey, New York, and Pennsylvania· East North-Central: Illinois, Indiana, Michigan, Ohio, and Wisconsin· West North-Central: Iowa, Kansas, Minnesota, Missouri, Neaska, North Dakota, and South Dakota· South Atlantic: Delaware, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, and West Virginia· East South-Central: Alabama, Kentucky, Mississippi, and Tennessee· West South-Central: Arkansas, Louisiana, Oklahoma, and Texas· Mountain: Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming· Pacific: Alaska, California, Hawaii, Oregon, and Washington

Komalavalli · Accepted Answer

Sheet1
	LocationName	Average Temperature	Food Insecurity Rates	GDP Percent Change	Labor Force Participation Rate	Obesity Rates	Poverty Rate	Share of Population with Bachelor's Degree or More	Unemployment Rate	Net International Migration as % of Population	Log State Tax Collections per capita	Log Per Capita Income	Dlocation name
	Alabama	64.7	17.6	0.4	71.6	35.6	18.5	24.2	6.2	0.61	7.56	10.55	5
	Alaska	30.1	13.3	1.9	79.7	29.8	10.4	29.7	6.7	1.86	8.43	10.94	8		Alaska, California, Hawaii, Oregon, and Washington
	Arizona	61.8	14.9	0.4	74	28.4	17.4	27.7	4.8	1.18	7.57	10.58	7
	Arkansas	61.4	19.2	0.9	72.2	34.5	18.7	21.8	3.9	0.64	8.01	10.55	6
	California	60.8	12.6	1.5	76.2	24.2	15.4	32.3	5.2	2.11	8.18	10.89	8
	Colorado	47.5	12.1	1.9	80.2	20.2	11.5	39.2	3	1.13	7.69	10.84	7
	Connecticut	49.9	13.1	-0.3	81.6	25.3	10.6	38.3	4.4	2.82	8.40	11.14	0
	Delaware	56.4	11.9	0.6	78.2	29.7	12.6	30.9	4.3	1.59	8.13	10.77	4
	Florida	79.4	12.7	0.3	75.6	26.8	15.8	28.4	4.9	3.38	7.48	10.70	4
	Georgia	65.3	14.9	0.5	75	30.7	17.2	29.9	5.4	1.40	7.52	10.60	4
	Hawaii	85	9.7	1	79.3	22.7	10.7	31.4	2.9	3.40	8.35	10.78	8
	Idaho	46.4	13.8	1.4	76.2	28.6	14.7	26	3.7	0.59	7.72	10.56	7
	Illinois	52.9	11.1	0.7	79.1	30.8	13.6	32.9	5.7	1.39	8.02	10.83	2
	Indiana	52.3	14.8	1.1	77.3	31.3	14.4	24.9	4	0.96	7.85	10.64	2
	Iowa	49.3	10.6	1.4	82.5	32.1	12.1	26.8	3.6	1.13	7.89	10.73	3
	Kansas	56.3	14.6	1.6	80.3	34.2	12.9	31.7	4.2	1.23	7.83	10.76	3
	Kentucky	56.6	17.6	0.7	72	34.6	18.3	23.3	4.8	0.90	7.83	10.56	5
	Louisiana	68.1	18.4	-0.3	72.9	36.2	19.5	23.2	6.1	0.95	7.64	10.67	6
	Maine	41.2	15.8	-0.1	78.2	30	13.2	30.1	3.8	0.73	7.97	10.66	0
	Maryland	55.5	10.7	1.2	81.4	28.9	9.9	38.8	4.2	2.68	8.06	10.93	4
	Massachusetts	48.4	9.7	1.5	81	24.3	11.5	41.5	2.8	3.47	8.23	11.04	0
	Michigan	45.1	14.9	-0.2	75.2	31.2	15.7	27.8	5	1.29	7.83	10.66	2
	Minnesota	43.5	9.9	1	83.9	26.1	10.2	34.7	3.9	1.45	8.35	10.84	3
	Mississippi	65.3	20.8	0.5	70.9	35.6	22.1	20.8	5.6	0.48	7.84	10.46	5
	Missouri	55.8	15.2	0.6	77.2	32.4	14.8	27.8	4.4	0.84	7.53	10.65	3
	Montana	44.9	12.2	1.7	78	23.6	14.4	30.6	4	0.38	7.86	10.64	7
	Nebraska	50.8	14.8	2.1	83.6	31.4	12.2	30.2	3.4	1.27	7.86	10.79	3
	Nevada	52.9	14.2	-0.7	77.5	26.7	14.9	23.6	5.1	1.45	7.83	10.64	7
	New Hampshire	43.6	10.1	0.6	82	26.3	8.4	35.7	2.6	0.94	7.45	10.93	0
	New Jersey	53.9	11.1	0.3	79.8	25.6	10.8	37.6	4.7	3.32	8.11	11.00	1
	New Mexico	54.9	14.4	0.8	72.5	28.8	19.8	26.5	6.6	0.73	7.92	10.54	7
	New York	45.7	14.1	1.1	77	25	15.5	35	4.9	3.54	8.27	10.98	1
	North Carolina	60.5	15.9	1.1	76.3	30.1	16.4	29.4	5.1	1.26	7.76	10.62	4
	North Dakota	43.4	8.5	6.7	84	31	10.7	29.1	3	1.25	9.02	10.93	3
	Ohio	51.6	16.1	0.7	77.2	29.8	14.8	26.8	4.9	0.97	7.75	10.68	2
	Oklahoma	60.8	15.5	2.8	74.4	33.9	16	24.6	5	0.99	7.76	10.73	6
	Oregon	50.4	16.1	2.7	76.2	30.1	15.2	32.2	4.6	0.95	7.80	10.69	8
	Pennsylvania	49.5	12.4	1.4	77.4	30	13.1	29.7	5.6	1.53	7.89	10.81	1
	Rhode Island	50.4	11.8	-0.1	80	26	14.1	32.7	5	2.40	7.94	10.82	0
	South Carolina	64.4	13.2	1.2	74.6	31.7	16.8	26.8	4.3	0.75	7.52	10.55	4
	South Dakota	47.6	11.5	2.1	82.8	30.4	13.5	27.5	2.8	1.10	7.54	10.78	3
	Tennessee	59	15.1	1.2	74.3	33.8	16.7	25.7	4.9	0.84	7.50	10.65	5
	Texas	65.8	15.4	3.7	76.3	32.4	15.9	28.4	4.6	1.83	7.63	10.76	6
	Utah	50.8	11.9	2.5	78.5	24.5	11.2	31.8	3.1	1.05	7.67	10.58	7
	Vermont	42.7	11.4	0.4	81	25.1	10.4	36.9	3.1	0.83	8.46	10.79	0
	Virginia	56.5	9.8	0.9	79.1	29.2	11.2	37	4.1	2.41	7.73	10.86	4
	Washington	50	12.9	2.1	77.5	26.4	12.2	34.2	5.2	1.96	7.92	10.86	8
	West Virginia	53.2	15	1	67.4	35.6	18	19.6	5.9	0.36	7.98	10.51	4
	Wisconsin	44.8	11.3	0.8	81.5	30.7	12.1	28.4	4	0.76	7.96	10.73	2
	Wyoming	44.1	13.2	2	80.6	29	10.6	26.2	4.8	0.54	8.26	10.93	7
b-c.
		Dlocation name	Poverty Rate	GDP Percent Change	Labor Force Participation Rate	Share of Population with Bachelor's Degree or More	Unemployment Rate	Log Per Capita Income	SQ Log per capita income
		5	18.5	0.4	71.6	24.2	6.2	10.55	111.2208706517		SUMMARY OUTPUT
		8	10.4	1.9	79.7	29.7	6.7	10.94	119.5901584911	b
		7	17.4	0.4	74	27.7	4.8	10.58	111.8371593114		Regression Statistics
		6	18.7	0.9	72.2	21.8	3.9	10.55	111.3436725543		Multiple R	0.91
		8	15.4	1.5	76.2	32.3	5.2	10.89	118.6341715852		R Square	0.83
		7	11.5	1.9	80.2	39.2	3	10.84	117.4535424606		Adjusted R Square	0.81
		0	10.6	-0.3	81.6	38.3	4.4	11.14	124.0453029115		Standard Error	1.35
		4	12.6	0.6	78.2	30.9	4.3	10.77	116.0204960467		Observations	50
		4	15.8	0.3	75.6	28.4	4.9	10.70	114.5252632458
		4	17.2	0.5	75	29.9	5.4	10.60	112.4502372591		ANOVA
		8	10.7	1	79.3	31.4	2.9	10.78	116.3148954628			df	SS	MS	F	Significance F
		7	14.7	1.4	76.2	26	3.7	10.56	111.4207839018		Regression	5	381.17	76.23	42.00	0.00
		2	13.6	0.7	79.1	32.9	5.7	10.83	117.1949349517		Residual	44	79.86	1.81
		2	14.4	1.1	77.3	24.9	4	10.64	113.2946360413		Total	49	461.03
		3	12.1	1.4	82.5	26.8	3.6	10.73	115.2244229365
		3	12.9	1.6	80.3	31.7	4.2	10.76	115.8060632153			Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
		5	18.3	0.7	72	23.3	4.8	10.56	111.5283132325		Intercept	98.37	21.10	4.66	0.00	55.84	140.89	55.84	140.89
		6	19.5	-0.3	72.9	23.2	6.1	10.67	113.8002942974		GDP Percent Change	0.01	0.18	0.08	0.94	-0.35	0.37	-0.35	0.37
		0	13.2	-0.1	78.2	30.1	3.8	10.66	113.7266549915		Labor Force Participation Rate	-0.47	0.10	-4.77	0.00	-0.67	-0.27	-0.67	-0.27
		4	9.9	1.2	81.4	38.8	4.2	10.93	119.5218924202		Share of Population with Bachelor's Degree or More	-0.08	0.07	-1.20	0.24	-0.21	0.05	-0.21	0.05
		0	11.5	1.5	81	41.5	2.8	11.04	121.9824928931		Unemployment Rate	0.37	0.28	1.33	0.19	-0.19	0.92	-0.19	0.92
		2	15.7	-0.2	75.2	27.8	5	10.66	113.7331325462		Log Per Capita Income	-4.39	2.43	-1.80	0.08	-9.29	0.51	-9.29	0.51
		3	10.2	1	83.9	34.7	3.9	10.84	117.4416157606
		5	22.1	0.5	70.9	20.8	5.6	10.46	109.3392075451
		3	14.8	0.6	77.2	27.8	4.4	10.65	113.4766588389	c	Testing for quadratic regression
		7	14.4	1.7	78	30.6	4	10.64	113.2280485185		SUMMARY OUTPUT
		3	12.2	2.1	83.6	30.2	3.4	10.79	116.4289745878
		7	14.9	-0.7	77.5	23.6	5.1	10.64	113.2687350858		Regression Statistics
		0	8.4	0.6	82	35.7	2.6	10.93	119.4957049243		Multiple R	0.91
		1	10.8	0.3	79.8	37.6	4.7	11.00	121.0274901157		R Square	0.83
		7	19.8	0.8	72.5	26.5	6.6	10.54	111.1697895084		Adjusted R Square	0.81
		1	15.5	1.1	77	35	4.9	10.98	120.5534563901		Standard Error	1.35
		4	16.4	1.1	76.3	29.4	5.1	10.62	112.6873955526		Observations	50
		3	10.7	6.7	84	29.1	3	10.93	119.5132966829
		2	14.8	0.7	77.2	26.8	4.9	10.68	114.1058142422		ANOVA
		6	16	2.8	74.4	24.6	5	10.73	115.0700461219			df	SS	MS	F	Significance F
		8	15.2	2.7	76.2	32.2	4.6	10.69	114.2119880906		Regression	6	382.7	63.8	35.0	0.0
		1	13.1	1.4	77.4	29.7	5.6	10.81	116.9569841456		Residual	43	78.3	1.8
		0	14.1	-0.1	80	32.7	5	10.82	117.0753910918		Total	49	461.0
		4	16.8	1.2	74.6	26.8	4.3	10.55	111.3712416056
		3	13.5	2.1	82.8	27.5	2.8	10.78	116.1323928426			Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
		5	16.7	1.2	74.3	25.7	4.9	10.65	113.3726739465		Intercept	960.75	936.77	1.03	0.31	-928.44	2849.93	-928.44	2849.93
		6	15.9	3.7	76.3	28.4	4.6	10.76	115.7081994689		GDP Percent Change	0.04	0.18	0.21	0.83	-0.33	0.40	-0.33	0.40
		7	11.2	2.5	78.5	31.8	3.1	10.58	111.9191201304		Labor Force Participation Rate	-0.42	0.11	-3.83	0.00	-0.65	-0.20	-0.65	-0.20
		0	10.4	0.4	81	36.9	3.1	10.79	116.4480827522		Share of Population with Bachelor's Degree or More	-0.08	0.07	-1.17	0.25	-0.21	0.06	-0.21	0.06
		4	11.2	0.9	79.1	37	4.1	10.86	117.9395673743		Unemployment Rate	0.42	0.28	1.49	0.14	-0.15	0.99	-0.15	0.99
		8	12.2	2.1	77.5	34.2	5.2	10.86	117.8752205597		Log Per Capita Income	-164.49	173.89	-0.95	0.35	-515.17	186.19	-515.17	186.19
		4	18	1	67.4	19.6	5.9	10.51	110.5044812089		SQ Log per capita income	7.40	8.03	0.92	0.36	-8.80	23.59	-8.80	23.59
		2	12.1	0.8	81.5	28.4	4	10.73	115.2300347138
		7	10.6	2	80.6	26.2	4.8	10.93	119.5644351653
d
		Poverty Rate	GDP Percent Change	Labor Force Participation Rate	Share of Population with Bachelor's Degree or More	Unemployment Rate	Log Per Capita Income	Obesity Rates	Log State Tax Collections per capita
		18.5	0.4	71.6	24.2	6.2	10.55	35.6	7.56	d.	SUMMARY OUTPUT
		10.4	1.9	79.7	29.7	6.7	10.94	29.8	8.43
		17.4	0.4	74	27.7	4.8	10.58	28.4	7.57		Regression Statistics
		18.7	0.9	72.2	21.8	3.9	10.55	34.5	8.01		Multiple R	0.9117200795
		15.4	1.5	76.2	32.3	5.2	10.89	24.2	8.18		R Square	0.8312335034
		11.5	1.9	80.2	39.2	3	10.84	20.2	7.69		Adjusted R Square	0.803105754
		10.6	-0.3	81.6	38.3	4.4	11.14	25.3	8.40		Standard Error	1.3610763895
		12.6	0.6	78.2	30.9	4.3	10.77	29.7	8.13		Observations	50
		15.8	0.3	75.6	28.4	4.9	10.70	26.8	7.48
		17.2	0.5	75	29.9	5.4	10.60	30.7	7.52		ANOVA
		10.7	1	79.3	31.4	2.9	10.78	22.7	8.35			df	SS	MS	F	Significance F
		14.7	1.4	76.2	26	3.7	10.56	28.6	7.72		Regression	7	383.2	54.7	29.6	0.0
		13.6	0.7	79.1	32.9	5.7	10.83	30.8	8.02		Residual	42	77.8	1.9
		14.4	1.1	77.3	24.9	4	10.64	31.3	7.85		Total	49	461.0
		12.1	1.4	82.5	26.8	3.6	10.73	32.1	7.89
		12.9	1.6	80.3	31.7	4.2	10.76	34.2	7.83			Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
		18.3	0.7	72	23.3	4.8	10.56	34.6	7.83		Intercept	93.48	22.00	4.25	0.00	49.09	137.87	49.09	137.87
		19.5	-0.3	72.9	23.2	6.1	10.67	36.2	7.64		GDP Percent Change	0.02	0.19	0.10	0.92	-0.36	0.40	-0.36	0.40
		13.2	-0.1	78.2	30.1	3.8	10.66	30	7.97		Labor Force Participation Rate	-0.47	0.10	-4.68	0.00	-0.67	-0.27	-0.67	-0.27
		9.9	1.2	81.4	38.8	4.2	10.93	28.9	8.06		Share of Population with Bachelor's Degree or More	-0.05	0.08	-0.67	0.51	-0.21	0.11	-0.21	0.11
		11.5	1.5	81	41.5	2.8	11.04	24.3	8.23		Unemployment Rate	0.34	0.28	1.20	0.24	-0.23	0.91	-0.23	0.91
		15.7	-0.2	75.2	27.8	5	10.66	31.2	7.83		Log Per Capita Income	-3.86	2.68	-1.44	0.16	-9.27	1.56	-9.27	1.56
		10.2	1	83.9	34.7	3.9	10.84	26.1	8.35		Obesity Rates	0.06	0.08	0.77	0.44	-0.10	0.22	-0.10	0.22
		22.1	0.5	70.9	20.8	5.6	10.46	35.6	7.84		Log State Tax Collections per capita	-0.44	0.80	-0.55	0.59	-2.05	1.17	-2.05	1.17
		14.8	0.6	77.2	27.8	4.4	10.65	32.4	7.53
		14.4	1.7	78	30.6	4	10.64	23.6	7.86
		12.2	2.1	83.6	30.2	3.4	10.79	31.4	7.86
		14.9	-0.7	77.5	23.6	5.1	10.64	26.7	7.83
		8.4	0.6	82	35.7	2.6	10.93	26.3	7.45
		10.8	0.3	79.8	37.6	4.7	11.00	25.6	8.11
		19.8	0.8	72.5	26.5	6.6	10.54	28.8	7.92
		15.5	1.1	77	35	4.9	10.98	25	8.27
		16.4	1.1	76.3	29.4	5.1	10.62	30.1	7.76
		10.7	6.7	84	29.1	3	10.93	31	9.02
		14.8	0.7	77.2	26.8	4.9	10.68	29.8	7.75
		16	2.8	74.4	24.6	5	10.73	33.9	7.76
		15.2	2.7	76.2	32.2	4.6	10.69	30.1	7.80
		13.1	1.4	77.4	29.7	5.6	10.81	30	7.89
		14.1	-0.1	80	32.7	5	10.82	26	7.94
		16.8	1.2	74.6	26.8	4.3	10.55	31.7	7.52
		13.5	2.1	82.8	27.5	2.8	10.78	30.4	7.54
		16.7	1.2	74.3	25.7	4.9	10.65	33.8	7.50
		15.9	3.7	76.3	28.4	4.6	10.76	32.4	7.63
		11.2	2.5	78.5	31.8	3.1	10.58	24.5	7.67
		10.4	0.4	81	36.9	3.1	10.79	25.1	8.46
		11.2	0.9	79.1	37	4.1	10.86	29.2	7.73
		12.2	2.1	77.5	34.2	5.2	10.86	26.4	7.92
		18	1	67.4	19.6	5.9	10.51	35.6	7.98
		12.1	0.8	81.5	28.4	4	10.73	30.7	7.96
		10.6	2	80.6	26.2	4.8	10.93	29	8.26
e.
		Poverty Rate	GDP Percent Change	Labor Force Participation Rate	Share of Population with Bachelor's Degree or More	Unemployment Rate	Log Per Capita Income	Net International Migration as % of Population	e.	SUMMARY OUTPUT
		18.5	0.4	71.6	24.2	6.2	10.55	0.61
		10.4	1.9	79.7	29.7	6.7	10.94	1.86		Regression Statistics
		17.4	0.4	74	27.7	4.8	10.58	1.18		Multiple R	0.9124678146
		18.7	0.9	72.2	21.8	3.9	10.55	0.64		R Square	0.8325975127
		15.4	1.5	76.2	32.3	5.2	10.89	2.11		Adjusted R Square	0.8092390261
		11.5	1.9	80.2	39.2	3	10.84	1.13		Standard Error	1.3397098597
		10.6	-0.3	81.6	38.3	4.4	11.14	2.82		Observations	50
		12.6	0.6	78.2	30.9	4.3	10.77	1.59
		15.8	0.3	75.6	28.4	4.9	10.70	3.38		ANOVA
		17.2	0.5	75	29.9	5.4	10.60	1.40			df	SS	MS	F	Significance F
		10.7	1	79.3	31.4	2.9	10.78	3.40		Regression	6	383.8514321496	63.9752386916	35.6443260552	0
		14.7	1.4	76.2	26	3.7	10.56	0.59		Residual	43	77.1773678504	1.7948225081
		13.6	0.7	79.1	32.9	5.7	10.83	1.39		Total	49	461.0288
		14.4	1.1	77.3	24.9	4	10.64	0.96
		12.1	1.4	82.5	26.8	3.6	10.73	1.13			Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
		12.9	1.6	80.3	31.7	4.2	10.76	1.23		Intercept	113.18	24.23	4.67	0.00	64.31	162.05	64.31	162.05
		18.3	0.7	72	23.3	4.8	10.56	0.90		GDP Percent Change	0.06	0.18	0.31	0.76	-0.31	0.42	-0.31	0.42
		19.5	-0.3	72.9	23.2	6.1	10.67	0.95		Labor Force Participation Rate	-0.43	0.10	-4.19	0.00	-0.64	-0.22	-0.64	-0.22
		13.2	-0.1	78.2	30.1	3.8	10.66	0.73		Share of Population with Bachelor's Degree or More	-0.10	0.07	-1.48	0.15	-0.24	0.04	-0.24	0.04
		9.9	1.2	81.4	38.8	4.2	10.93	2.68		Unemployment Rate	0.39	0.27	1.41	0.17	-0.17	0.94	-0.17	0.94
		11.5	1.5	81	41.5	2.8	11.04	3.47		Log Per Capita Income	-6.05	2.78	-2.18	0.03	-11.65	-0.45	-11.65	-0.45
		15.7	-0.2	75.2	27.8	5	10.66	1.29		Net International Migration as % of Population	0.40	0.33	1.22	0.23	-0.26	1.07	-0.26	1.07
		10.2	1	83.9	34.7	3.9	10.84	1.45
		22.1	0.5	70.9	20.8	5.6	10.46	0.48
		14.8	0.6	77.2	27.8	4.4	10.65	0.84
		14.4	1.7	78	30.6	4	10.64	0.38
		12.2	2.1	83.6	30.2	3.4	10.79	1.27
		14.9	-0.7	77.5	23.6	5.1	10.64	1.45
		8.4	0.

State Name Average Temperature in each State Rate of food insecurity (Percentage of population) GDP growth (Percentage) Labor Force Participation (Percentage of Labor Force) Obesity rates (Percentage...

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