Fill in the blank. Cape May Realty manages rental beach properties during the summer season for property owners. They would like to determine if a relationship exists between the square footage of beach property and the weekly rental rates during the summer season. Simple regression analysis was performed using a random sample of beach properties with the results given. According to these regression results, the average weekly rental for a property that is 2,000 square feet is Click the icon to view the summary output. i Summary Output X O A. $1,473 O B. $1,219 SUMMARY OUTPUT O C. $1,750 O D. $1,598 Regression Statistics Multiple R 0.4738 R Square 0.2245 Adjusted R Square 0.1599 Standard Error 298.0757 Observations 14 ANOVA of SS MS Significance F Regression 1 308653.62 308653.62 3.47 0.0870 Residual 12 1066189.23 88849.10 Total 13 1374842.86 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 817.0948 359.6186 2.2721 0.0423 33.553 1600.636 Square Feet 0.3280 0.1760 1.8638 0.0870 -0.055 0.711Consider the following set of ordered pairs shown below. Assuming that the regression equation is y = 2.708 + 0.375x and the SSE =8.583, construct a 90% confidence interval for x = 4. X 5 0 4 3 4 2 y 5 3 6 4 Probabilities under the t-distribution curve X Click the icon to view a portion of the Student's t-distribution table. Calculate the upper and lower limits of the confidence interval. UCL = I Tail 0.200 0.100 0.050 0.025 0.010 0,005 2 Tail 0.400 0.200 LCL = 0.100 0.050 0.020 0,010 Conf Lev 0.600 0.800 0.900 0.950 0.980 0,990 (Round to three decimal places as needed.) d.E. I 1.376 3.078 6.314 12.706 31.821 63,657 1.061 1.886 2 920 4.303 6.965 9,925 0.978 1.638 2 353 3. 182 4.541 5.841 0.941 1.533 2.132 2.776 3.747 4.604 0.920 1.476 2015 2571 3.365 4.032 0.906 1.440 1.943 2447 3.143 3.707 0.896 1.415 1.895 2.365 2.998 3,499 0.889 1.397 1.860 2 306 2.896 3.355 0.883 1.383 1.833 2 262 2.821 3.250 0.879 1.372 1.812 2 228 2.764 3.169 0.876 1.363 1.796 2.201 2.718 3,106 0.873 1.356 1.782 2.179 2.681 3.055 0.870 1.350 1.771 2.160 2.650 3.012 15 0.865 1.341 1.753 2131 2.602 2.947 16 0.865 1.337 1.746 2.120 2.583 2.921 17 0.863 1.333 1.740 2.110 2.567 2.898 18 0.862 1.330 1.734 2. 101 2.552 2.878 19 0.861 1.328 1.729 2.093 2.539 2.861 20 0.860 1.325 1.725 2.086 2.528 2.845 21 0.859 1.323 1.721 2.080 2.518 2.831 22 0.858 1.321 1.717 2.074 2.508 2.819 23 0.858 1.319 1.714 2.069 2.500 2.807 24 0.857 1.318 1.711 2.064 2.492 2.797 25 0.856 1.316 1.708 2.060 Enter your answer in each of the answer boxes. 2.485 2.787 26 0.856 1.315 1.706 2.056 2.479 2.779
