A superstitious commuter believes that the number of people on the first car of the subway can predict the quality of their day. For 14 days, they record the number of other people on the first car of the subway, and in the evening, rate their day (0 being the worst day ever, 10 being the best). Their data is below: Number of people on the subway = 23 7 40 38 9 32 41 42 20 41 5 7 41 29 Day Rating = 10 3 9 2 7 2 4 3 4 7 8 10 7 7 Perform a linear regrssion analysis on this data. Then predict the daily rating of a day where 25 people were on the front subway car. Match each statistic with its value. The coefficient of determination The coefficient of determination The predicted daily rating of a day where 25 people were on the front subway car The slope of the best fit line used to predict rating The intercept of the best fit line used to predict rating The correlation coefficient Σ(y)2 Σ(xy) Σ(x2) Σ(y) Σ(x) Σ(x)*Σ(y) SSx*y Σ(y2) SSy Σ(x)2 SSx a. 375.00 b. 83.00 c. 12849.00 d.599.00 e. 140625.00 f. 6889.00 g. 2071.00 h. 31125.00 i. 2804.36 j.106.93 k -152.21 l. -0.28 m. 0.08 n. -0.05 0. 7.38 p.6.03
A superstitious commuter believes that the number of people on the first car of the subway can predict the quality of their day. For 14 days, they record the number of other people on the first car of the subway, and in the evening, rate their day (0 being the worst day ever, 10 being the best). Their data is below: Number of people on the subway = 23 7 40 38 9 32 41 42 20 41 5 7 41 29 Day Rating = 10 3 9 2 7 2 4 3 4 7 8 10 7 7 Perform a linear regrssion analysis on this data. Then predict the daily rating of a day where 25 people were on the front subway car. Match each statistic with its value. The coefficient of determination The coefficient of determination The predicted daily rating of a day where 25 people were on the front subway car The slope of the best fit line used to predict rating The intercept of the best fit line used to predict rating The
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