Exhibit 12-4
Regression analysis was applied between sales data Y in $1,000s) and advertising data x in $100s) and the following information was obtained.
= 12 + 1.8 x
$\hat { Y }$ n = 17
SSR = 225
SSE = 75
Sb₁ = 0.2683
-Refer to Exhibit 12-4. The t statistic for testing the significance of the slope is
A) 1.80
B) 1.96
C) 6.708
D) 0.555

Question

Exhibit 12-4
Regression analysis was applied between sales data Y in $1,000s) and advertising data x in $100s) and the following information was obtained.
= 12 + 1.8 x
 $\hat { Y }$ n = 17
SSR = 225
SSE = 75
Sb₁ = 0.2683
-Refer to Exhibit 12-4. The t statistic for testing the significance of the slope is
A) 1.80
B) 1.96
C) 6.708
D) 0.555

Quizplus · Accepted Answer

The t statistic for testing the significance of the slope is calculated as the estimated coefficient (1.8) divided by its standard error (Sb₁ = 0.2683), which equals 6.708.

Exhibit 12-4 Regression Analysis Was Applied Between Sales Data Y Y^\hat { Y }Y^

Exhibit 12-4
Regression Analysis Was Applied Between Sales Data Y $\hat { Y }$