A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. The least-squares regression equation for these data is Y, = - 10,716.747 +2.364X; and the standard error of the estimate is Syx = 15,839.846. Assume that the straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (b) below. E Click the icon to view the data on program per-year tuition and mean starting salary. a. At the 0.05 level of significance, is there evidence of a linear relationship between the starting salary upon graduation and program per-year tuition? Determine the hypotheses for the test. Ho: B1 = 0 H1: B1 (Type integers or decimals. Do not round.) Compute the test statistic. The test statistic is tsTAT = (Round to two decimal places as needed.)

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Chapter1: Starting With Matlab
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A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year
tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table.
The least-squares regression equation for these data is Y; = - 10,716.747 + 2.364X; and the standard error of the estimate is Syx = 15,839.846. Assume that the
straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (b) below.
E Click the icon to view the data on program per-year tuition and mean starting salary.
a. At the 0.05 level of significance, is there evidence of a linear relationship between the starting salary upon graduation and program per-year tuition?
Determine the hypotheses for the test.
Ho: B1
= 0
H1: B1
(Type integers or decimals. Do not round.)
Compute the test statistic.
The test statistic is tsTAT =
(Round to two decimal places as needed.)
Transcribed Image Text:A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. The least-squares regression equation for these data is Y; = - 10,716.747 + 2.364X; and the standard error of the estimate is Syx = 15,839.846. Assume that the straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (b) below. E Click the icon to view the data on program per-year tuition and mean starting salary. a. At the 0.05 level of significance, is there evidence of a linear relationship between the starting salary upon graduation and program per-year tuition? Determine the hypotheses for the test. Ho: B1 = 0 H1: B1 (Type integers or decimals. Do not round.) Compute the test statistic. The test statistic is tsTAT = (Round to two decimal places as needed.)
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