The following ANOVA was created to predict the attendance to a weekly summer concert. The variables used to predict the attendance are the temperature forecast for the day of the concert and if a TV ad was run that week (TV Ad Run=1 if it was run and 0 if not).
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 2 | 644377 | 322189 | 48.2 | 1.22E-09 | |
Residual | 27 | 180320 | 6679 | |||
Total | 29 | 824697 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 304.7 | 117.22 | 2.60 | 0.015 | 64.2 | 545.2 |
Forecast Temp | 13.4 | 1.39 | 9.65 | 3.04E-10 | 10.5 | 16.2 |
TV Ad Run | 150.2 | 31.67 | 4.74 | 6.09E-05 | 85.2 | 215.2 |
When the TV ad is run, attendance at the concert...
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Ans:
In regression with multiple independent variables, the coefficient tells you how much the dependent variable is expected to increase when that independent variable increases by one, holding all the other independent variables constant.
As,the slope cofficient for TV ad run is 150.2,it indicates that when Tv ad is run,attendence at the concert increases by 150 people(as slope cofficient is positive).
Option C is correct(increases by 150 people)
The following ANOVA was created to predict the attendance to a weekly summer concert. The variables...