# Question

Refer to Exercise 1, where we are trying to link daily temperature (x) and coffee sales (y). The estimated regression equation turned out to be ˆy = 660 – 6.8x. Can we reject the null hypothesis that the population slope is 0, at the 5% significance level? Explain the implications of your answer.

## Answer to relevant Questions

Refer to Exercise 2, where we are attempting to link a company’s annual R & D Budget (x) to the number of patents granted to researchers at the company (y). The estimated regression equation turned out to be ˆy = 3.5 – ...Refer to Exercise 8 (hedge fund returns and administrator compensation). The estimated regression equation turned out to be ˆy =2.2 – .55x. Is the sample slope (b = .55) “statistically significant” at the 5% ...For a simple linear regression analysis attempting to relate consumer confidence (y) to the unemployment rate (x), the following data are available: Show the data in a scatter diagram and use the least squares criterion to ...Refer to Exercise 4, where we are trying to link average hourly wage (x) to employee turnover (y). The estimated regression equation turned out to be yˆ = 139.2 – 6.7x. Show the 95% prediction interval estimate of the ...Sticking to the inference side of regression, construct a 95% confidence interval estimate of E (y 50), the average building support cost for similar sports complexes having 50,000 square feet of floor area.Post your question

0