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In: Statistics and Probability

Question 2 In a study of the relationship between X = mean daily temperature for the...

Question 2

In a study of the relationship between X = mean daily temperature for the month and Y = monthly charges on the electrical bill the following data was gathered:

Temperature (oF): Xi

16

28

13

22

25

19

Number of Calls: Yi

95

120

70

115

130

85

We are interested in fitting the following simple linear regression model: Y = Xβ + ε

a) Calculate X′X, (X′X)-1 and X′Y and then calculate the least squares estimates of β0 and β1.

b)   Calculate the variance-covariance matrix of b, and use it to perform a t-test to test the null hypothesis that β1 = 0. Use α = 0.05.

Use the matrix approach to calculate the following:

c)   Calculate a 95% confidence interval for the mean of Y when X = 20.

d)   Calculate a 95% prediction interval for an individual new value of Y when X = 20.

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