6.5141 b. What is the value of the t test statistic (to 2 decimals)? 1.90 What is the p -value? between .10 and .20 What is your conclusion ( = . 05)? cannot conclude a significant relationship exists between x and y
c. Use the F test to test for a significant relationship. Use = .05. Compute the value of the F test statistic (to 2 decimals). 3.63 What is the p -value? greater than .10 What is your conclusion? cannot conclude a significant relationship exists between x and y 9) Consider the data set below. Excel File: data14-33.xls The estimated regression equation is = 30.33 - 1.88 x . a. Estimate the standard deviation of p when x = 3 (to 3 decimals). 6.526 b. Develop a 95% confidence interval for the expected value of y when x = 3 (to 2 decimals). ( , )
(38.23 , 79.77) c. Estimate the standard deviation of an individual value of y when x = 3 (to 2 decimals). 10.92 d. Develop a 95% prediction interval for y when x = 3 (to 2 decimals). ( , ) (24.25 , 93.75) 10) In exercise 12, the following data on x = average daily hotel room rate and y = amount spent on entertainment ( The Wall Street Journal , August 18, 2011) lead to the estimated regression equation = 17.49 + 1.0334 x . For these data SSE = 1541.4. Click on the webfile logo to reference the data. a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). $ 109.46
b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals). $ to $ $94.84 to $124.08 c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals). $ to $ $110.69 to $188.85
11) Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. Excel File: data14-41.xls If your answer is zero, enter "0". a. Write the estimated regression equation (to 4 decimals). = + x y= 6.1092 + 0.8951 x b. Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance (to 2 decimals, if necessary).
t = 6.01 p value= 0 Reject the null hypothesis Monthly maintenance expense is related- is related b. Did the estimated regression equation provide a good fit? yes Solution 12) In 2011 home prices and mortgage rates dropped so low that in a number of cities the monthly cost of owning a home was less expensive than renting. The following data show the average asking rent for 10 markets and the monthly mortgage on the median priced home (including taxes and insurance) for 10 cities where the average monthly mortgage payment was less than the average asking rent ( The Wall Street Journal , November 26–27, 2011). Click on the webfile logo to reference the data.
Enter negative values as negative numbers. a. Develop the estimated regression equation that can be used to predict the monthly mortgage given the average asking rent (to 2 decimals).
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