In: Math
Consider the following regression output with Sunday circulation of newspapers as dependent variable and Daily circulation as independent variable. Both Sunday and Daily circulation and measured in thousands of copies.
Dependent Variable: Sunday |
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Variable: |
Intercept |
Daily |
Coefficient |
24.763 |
1.351 |
Std. Error |
46.99 |
0.09 |
t Stat |
0.527 |
14.532 |
P-value |
0.602 |
0.000 |
Given the output above choose whether the following statement is TRUE or FALSE.
Question 1
This regression is bad because we are only 39.8% confident that the
intercept coefficient is not 0.
a: TRUE | |||||||||||||||
b: FALSE Question 2 ( it part 2 of the first
queestion)
|
Consider the following regression output with Sunday circulation of newspapers as dependent variable and Daily circulation as independent variable. Both Sunday and Daily circulation and measured in thousands of copies.
Dependent Variable: Sunday |
||
Variable: |
Intercept |
Daily |
Coefficient |
24.763 |
1.351 |
Std. Error |
46.99 |
0.09 |
t Stat |
0.527 |
14.532 |
P-value |
0.602 |
0.000 |
Given the output above choose whether the following statement is TRUE or FALSE.
Question 1
This regression is bad because we are only 39.8% confident that the
intercept coefficient is not 0.
a: TRUE |
|||||||||
Answer:b: FALSE intercept coefficient tells that when there is no daily circulation, the Sunday circulation is 24763. Question 2 ( it part 2 of the first
question)
|
The regression coefficient is significant at 0.000 which is < 0.001 level of significance.
Daily increase of two thousand copies will result in Sunday increase of 2000*1.351 =2702 copies.