Question
7.A credit card company is trying to understand and even predict annual charges that a customer will make on their cards using 5 variables: annual
7.A credit card company is trying to understand and even predict annual charges that a customer will make on their cards using 5 variables: annual income (in $1000), household size, years of post-high school education (labeled simply "Education"), hours per week watching television (labeled "TV Hours") and age of the primary card holder.
They collect data on 100 randomly selected customers and measure the variables described above. They then perform a multiple regression analysis and find the results shown in the questions below.
Important Note: While the scenario above applies to all of the questions below, the output shown in different questions may change from question to question. Please be careful that you use the appropriate output for each question.
71 pts
For this question, use the following multiple regression output (which may differ from the output in other questions, even though the variables are the same).
For this question, use the following multiple regression output (which may differ from the output in other questions, even though the variables are the same).
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.534 | |||||
R Square | 0.285 | |||||
Adjusted R Square | 0.247 | |||||
Standard Error | 4791.473 | |||||
Observations | 100 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 5 | 859571711.8 | 1.72E+08 | 7.488 | 5.940E-06 | |
Residual | 94 | 2158071843 | 22958211 | |||
Total | 99 | 3017643555 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 3637.638 | 2700.353 | 1.347 | 0.1812 | -1723.976 | 8999.252 |
Annual Income ($1000) | 108.876 | 19.008 | 5.728 | 1.216E-07 | 71.135 | 146.617 |
Household Size | 285.883 | 218.539 | 1.308 | 0.1940 | -148.032 | 719.797 |
Education | -200.021 | 320.557 | -0.624 | 0.5342 | -836.494 | 436.451 |
TV Hours | -3.683 | 28.451 | -0.129 | 0.8973 | -60.175 | 52.808 |
Age | -10.82 | 46.632 | -0.232 | 0.817 | -103.41 | 81.769 |
What p-value would you use to determine if weekly hours of TV watching is significantly related to annual charges?
Group of answer choices
0.8973
0.5342
0.1812
-0.129
0.817
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