6. Consider the following set of dependent and independent variables. Use this data to complete parts a and b below.
Construct a 95% confidence interval for the regression coefficient for x1
y x1 x2
9 0 18
14 3 9
16 3 13
16 8 11
22 9 4
24 11 7
25 13 6
32 21 6
a. The 95% confidence interval for the true population coefficient B1 is _____ to _____. (Round to three decimal places as needed.)
b. Construct a 95% confidence interval for the regression coefficient for x2.
The 95% confidence interval for the true population coefficient β2 is ______ to _____. (Round to three decimal places asneeded.)
Applying regression from excel: with data-data analysis -regression:
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 15.59429 | 3.077636 | 5.066971 | 0.003877 | 7.682976 | 23.5056 | 7.682976 | 23.5056 |
x1 | 0.87813 | 0.146331 | 6.000979 | 0.001845 | 0.501974 | 1.254286 | 0.501974 | 1.254286 |
x2 | -0.35766 | 0.214183 | -1.6699 | 0.155806 | -0.90824 | 0.19291 | -0.90824 | 0.19291 |
a)
95% confidence interval for the true population coefficient B1 is 0.502 to 1.254
b) 95% confidence interval for the true population coefficient β2 is is -0.908 to 0.193
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