1. Use cars.sav to run a Pearson’s bivariate correlation to examine whether the weight of an...

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1. Use cars.sav to run a Pearson’s bivariate correlation to examine whether the weight of an automobile (‘weight’) is related to its gas mileage (‘mpg’). (1 pt.) (Copy & Paste relevant table(s) from...

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1. Use cars.sav to run a Pearson’s bivariate correlation to examine whether the weight of an automobile (‘weight’) is related to its gas mileage (‘mpg’). (1 pt.) (Copy & Paste relevant table(s) from the SPSS Output)

2. Report the correlation results in APA style. (1 pt.)

3. Drinking tea makes you brainy (Tea Makes You Brainy (Assign 10).sav); run a simple linear regression to see if tea drinking (‘cups of tea’) is a significant predictor of cognitive functioning (‘cognitive_function’). Is there a significant effect? (1 pt.) (Copy & Paste relevant table(s) from the SPSS Output, including model summary, ANOVA and coefficients)

4. What would cognitive functioning be if someone drank 10 cups of tea? (2 pts.)

cars-24jcpukc.xlsx cars-assign-2-10-2-02zv1fgh.dat cars-assign-2-10-2-w4hrfia0.sav

Answered Same Day Apr 04, 2021

Pooja · Accepted Answer

1)
	Correlations
	
	
	Vehicle Weight (lbs.)
	Miles per Gallon
	Vehicle Weight (lbs.)
	Pearson Correlation
	1
	-.834**
	
	Sig. (2-tailed)
	
	.000
	
	N
	402
	394
	Miles per Gallon
	Pearson Correlation
	-.834**
	1
	
	Sig. (2-tailed)
	.000
	
	
	N
	394
	394
	**.

1. Use cars.sav to run a Pearson’s bivariate correlation to examine whether the weight of an automobile (‘weight’) is related to its gas mileage (‘mpg’). (1 pt.) (Copy & Paste relevant table(s) from...

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