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1. Based on a sample of 30 observations, the population regression model was estimated. The least squares estimates obtained were as follows: =10.1 and =8.4. The regression and error sums of squares...

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1. Based on a sample of 30 observations, the population regression model was estimated. The least squares estimates obtained were as follows: =10.1 and =8.4. The regression and error sums of squares were as follows: SSR= 128 and SSE= 286. a) Find and interpret the coefficient of determination. b) Find c) Test at the 10% significance level against a two sided alternative the null hypothesis that is 0. 2. An insurance company employs agents on a commission basis.
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1. Based on a sample of 30 observations, the population regression model was estimated. The least squares estimates obtained were as follows: =10.1 and =8.4. The regression and error sums of squares were as follows: SSR= 128 and SSE= 286. a) Find and interpret the coefficient of determination. b) Find c) Test at the 10% significance level against a two sided alternative the null hypothesis that is 0. 2. An insurance company employs agents on a commission basis. It claims that in their first-year agents will earn a mean commission of at least $40,000 and that population standard deviation is no more than $6,000. A random sample of nine agents filed for commission in the first year, and Where is measured in thousands of dollars and the population distribution can be assumed to be normal. Test at 5% level, the null hypothesis that the population mean is at least $40,000. 3. A wine producer claims that the proportion of its customers who cannot distinguish its product from frozen grape juice is at most 0.09. The producer decides to test this null hypothesis against the alternative that the true proportion is more than 0.09. The decision rule adopted is to reject the null hypothesis if the sample proportion of people who cannot distinguish between these two flavors exceed 0.14. a) If a random sample of 400 customers is selected, what is the probability of Type I error using this decision rule? b) Suppose that the true proportion of customers who cannot distinguish between these flavors is 0.20. If a random sample of 100 customers is selected, what is the probability of a type II error? 4. Random samples of employees were drawn in fast food restaurants where the employer provides a training program. Of a sample of 67 employees who had not finished high school, 11 had participated in a training program provided by their current employer. Of an independent random sample of 113 employees who had completed high school but...

Answered Same Day Dec 21, 2021

Solution

Robert answered on Dec 21 2021
122 Votes
Write as a positive exponent and please explain your steps and why you used such steps
1)
Given the regression modal ii xy   10

The regression and the e
or sums of squares-
SSR=128 and SSE=286
a)To find the coefficient of determination-
We know that 22 )ˆ()ˆ( yySSEandyySSR i  

Where ŷ is the predicted value of y and iy is the actual value
SST=SSE+SSR
SST is the measure of total variation in y
SST=286+128=414
We know that coefficient of determination 31.0
414
1282 
SST
SSR
R


We know that the coefficient of determination tells us the accuracy of the regression
modal. It lies between 0 and 1. The higher the value of R^2 the more accurate the
egression modal is. In our case it is only 31% accuracy.
)
To find 2)( xxi 

We know that 2)( yySST i 

We also know that )(1 xxbyy 

Therefore 2
30
1
2
1
2
30
1
)()()( xxbyy ii  


2
30
1
2
1
2
30
1
)(/])([ xxbyy ii  

25.6)4.8/(441)( 22
30
1
 xxi

c) Let us assume the null hypothesis

0: 10 H

0: 11 H
Critical value of t-distribution at 10% l.o.s and d.o.f.28 is 1.313
Hence limits for 19.44.819.3313.1: 11 b
59.1221.4 1  

4.81.10 10 ...
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