A researcher analyzes the factors that may influence amusement park attendance. She estimates the following model: Attendance = ?_{0} + ?_{1}Price + ?_{2}Temperature + ?_{3}Rides + ?, where Attendance is the daily attendance (in 1,000s), Price is the gate price (in $), Temperature is the average daily temperature (in °F), and Rides is the number of rides at the amusement park. A portion of the regression results is shown in the accompanying table.
df  SS  MS  F  Significance F  
Regression  3  29,524.41  9,841.47  2.18E14  
Residual  26  2,564.37  98.63  
Total  29  32,088.78  
Coefficients  Standard Error  tstat  pvalue  Lower 95%  Upper 95%  
Intercept  27.328  40.254  0.5032  ?55.415  110.071  
Price  ?1.201  0.294  0.0004  ?1.805  ?0.598  
Temperature  0.008  0.208  0.9693  ?0.419  0.435  
Rides  3.621  0.364  2.32E10  2.874  4.369 
When testing whether the explanatory variables Temperature and Rides are jointly significant, the error sum of squares for the restricted model is SSE_{R} = 12,343.78. Which of the following is the value of the test statistic when conducting this test?
49.58 

?4.09 

25.33 

Question 9 Tiffany & Co. has been the world's premier jeweler since 1837. The performance of Tiffany's stock is likely to be strongly influenced by the economy. Monthly data for Tiffany's riskadjusted return and the riskadjusted market return are collected for a fiveyear period (n = 60). The accompanying table shows the regression results when estimating the CAPM model for Tiffany's return.
When testing whether the beta coefficient is significantly greater than one, the value of the test statistic is ________.

99.78 chose this one just double checking 
Q 8) F score= MSRegression/ MSResidual
Q9) Hypothesis test :
and
The test statistic:
Q 10) Coefficient of AGE: t= 3.2671 and Pvalue= 0.0035
Pvalue is less than 0.01. The test statistic is significant and rejects H0.
Reject the null hypothesis. At 1% significance level, we conclude that Age is significant in explaining Happiness.
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