Question 22 2 pt The accompanying table shows the regression results when estimating y = Bo + B121 + B232 + B323 + E. df SS MS F Significance F Regression 3 453 151 5.03 0.0030 Residual 85 2,521 30 Total 88 2,974 Coefficients Standard Error t-stat p-value Intercept 14.96 3.08 4.80 0.0000 X1 0.87 0.29 3.00 0.0035 0.46 0.22 2.09 0.0400 X3 0.04 0.34 0.12 0.9066 At the 5% significance level, which of the following explanatory variable(s) is(are) individually significant? O x2 and X3 Only 3 O x1 and x2 Only x1Question 23 2 pts A researcher analyzes the factors that may influence amusement park attendance. She estimates the following model: Attendance = Bo + B1 Price + 32 Temperature + 83 Rides + E, 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: Significance af SS MS F F Regression 3 29,524.41 9,841.47 2.18E-14 Residual 26 2,564.37 98.63 Total 29 32,088.78 Coefficients Standard Error t-stat p-value 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 2.32E-10 2.874 4.369 When testing whether Temperature is significant at the 5% significance level, she O rejects Ho : 32 = 0, and concludes that Temperature is significant O rejects Ho : 32 = 0, and cannot conclude that Temperature is significant does not reject Ho : 32 = 0, and concludes that Temperature is significant does not reject Ho : B2 = 0, and cannot conclude that Temperature is significantQuestion 24 2 pts A researcher analyzes the factors that may influence amusement park attendance. She estimates the following model: Attendance = Bo + B1 Price + B2 Temperature + B3 Rides + E, 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: Significance df SS MS F F Regression 3 29,524.41 9,841.47 2.18E-14 Residual 26 2,564.37 98.63 Total 29 32,088.78 Coefficients Standard t-stat Error p-value 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 2.32E-10 2.874 4.369 When testing whether Rides is significant at the 1% significance level, she does not reject Ho : $3 = 0, and cannot conclude that Rides is significant O rejects Ho : 3 = 0, and cannot conclude that Rides is significant O rejects Ho : 83 = 0, and concludes that Rides is significant does not reject Ho : B3 = 0, and concludes that Rides is significant