A data set consists of these points: (2, 4), (4, 7), (5, 12). Malinda found the regression equation to be y = 2.5x- 1.5. Is she correct? O A. No. Both a and b are incorrect. B. No. The value for bis incorrect. O C. No. The value for a is incorrect. D. Yes. This is the correct equation.
Q: . What is the equation
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- K a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,2), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b). FICEERD a. What is the equation of the regression line for all 10 points? y=+x (Round to three decimal places as needed.) X 10- 8- 6- 4 2- 10- 0 2 4 6 8 10Suppose Ms. Carr is interested in the relationship between her students' 9th grade math final exam scores and the number of hours they spent studying during the year. She collects information for 15 ninth grade students and uses it to obtain the regression equation, where ?x is the number of hours spent studying during the year and ?̂ is the predicted final exam score. ?̂ =1.48?+75.64 The scatter plot displays her results. What is the predicted ?̂ value when a student spends 13 hours studying? Round your answer to one decimal place. Select the correct interpretation. The above predicted value of ?̂ is the predicted final math test score if a student studies 13 hours during the year. the predicted score of 13 out of 15 students. what any student will score on the final exam if they study at least 13 hours. the math final test score that 13 students beat.a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (7,1), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b). *** a. What is the equation of the regression line for all 10 points? y=+x (Round to three decimal places as needed.) b. What is the equation of the regression line for the set of 9 points? y=(Round to three decimal places as needed.) c. Choose the correct description of the results below. 10- 84 6 4 2- 02468 10 OA. The regression line changes, but the change is small. B. The removal of the point has a significant impact on the regression line. OC. The regression line is very similar in both cases. O D. There is no regression line for the second case because the data are in a pattern.
- Given the regression equation Y= 43- 10X, the change in Y when X changes by +5 is O a. -7 O b. +50 C. -50 O d. 43A table of data points is given below. a. Find the regression equation for the data points. Use the formulas Sxx=∑ xi−x2 and Sxy=∑ xi−x yi−y to obtain Sxx and Sxy. b. Graph the regression equation and data points. x 1 2 3 y 6 5 10 a. The regression equation is y= + () x. (Simplify your answers. Type integers or decimals. Do not round.)Please help ))()()
- Given the regression equation Y = 43 - 10X, the change in Y when X changes by -3 is A. -30 B. 30 C. -13 D. 13Consider the following regression equation: y = -3.9 + 7.2x What does 7.2 depict in the regression equation above? a) The direction of the line. b) The y-intercept. c) The point where x = 0. d) The y when x = 7.2.Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,9), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b)
- Use the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. X 5 b. Graph the regression equation and the data points. y -1 10 -10 y B. 10 -10- C. a. Find the regression equation for the data points. ŷ-0 (Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.) b. Graph the regression equation and the data points. O A. 10 T -10- 1 2 -1 3 327 D. -10 4 y 4 28 0a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,3), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b).Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9-0.00749x, where x represents weight Complete parts (a) through (d). Click the icon to view the car data. 東 b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0.007499. B. The slope is -0.00749 and the y-intercept is 58.9. O C. The slope is 58.9 and the y-intercept is -0.00749. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. B. The predictor variable is weight, which is represented by x. O C. The predictor variable is weight, which is represented by y O D. The predictor variable is highway fuel consumption, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel…