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- Run a simple linear regression in SPSS to know if previous experience (‘prevexp’: Previous Experience-months) significantly predicts current salary(‘salary’: Current Salary) in the work force . Use α =.05 Interpret each of the terms of the regression equation That is, interpret: X, Ŷ, a and bThe data in the following table show the amount of water in milliliters a professional tennis player loses for various times, in minutes, of play during a tennis match. (a) Use the points (10, 500) and (60, 2,300) to find a linear model that will predict the water lost y (in mL) by a player who has been playing for x minutes. (b) Use your linear model to estimate the amount of water lost (in mL) by a player who has been playing for 45 minutes.A regression analysis was performed to determine if there is a relationship between hours ofTV watched per day r) and number of sit ups a person can do (y). The results of the regression were: у-ах+b a=-0.827 b=35.329 r2=0.540225 r=-0.735 Use this to predict the number of sit ups a person who watches 13.5 hours of TV can do, and please round your answer to a whole number.
- The equation used to predict college GPA (range 0-4.0) is y= 0.17 +0.52x, +0.002x,, where x, is high school GPA (range 0-4.0) and X2 is college board score (range 200-800). Use the multiple regression equation to predict college GPA for a high school GPA of 3.1 and a college board score of 600.Two variables have a positive linear correlation. Is the slope of the regression line for the variables positive or negative?A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy). The results of the regression were: y=ax+ba=-1.392b=32.952r2=0.527076r=-0.726Use this to predict the number of situps a person who watches 2 hour(s) of TV can do, and please round your answer to a whole number.
- The equation used to predict college GPA (range 0-4.0) is y = 0.17 +0.51x, +0.002x,, where x, is high school GPA (range 0-4.0) and x, is college board score (range 200-800). Use the multiple regression equation to predict college GPA for a high school GPA of 3.8 and a college board score of 500. The predicted college GPA for a high school GPA of 3.8 and a college board score of 500 is (Round to the nearest tenth as needed.)Which equation most closely represents the curve of best fit for the following data? {(63, 50), (57, 68), (59, 55), (48, 71), (54, 72)} Oy -0.14x² +14.24x 283.69 Oy = 0.88x -0.14 Oy -0.14a + 14.24 Oy=0.72x² 1.52x+148.39The slope of a regression line (y on x) is -0.24, we know that SDy=3.2 and SDx=4.0, then the correlation coefficient between the two variables is:A. 0.3B. -0.3C. 0.8D. -0.8
