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Review Assessment 0 of 1 Point Using the graph, find the equation of the line in slope-intercept form. (71, -2) What is the slope-intercept form

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Review Assessment 0 of 1 Point Using the graph, find the equation of the line in slope-intercept form. (71, -2) What is the slope-intercept form of the equation of the line? y = (Simplify your answer. Use integers or fractions for any numbers in the expression.) View an example Statcrunch Get more help - Clear all Check answer4.2 Least-Squares Regression 0 of 1 Point Part 2 of 3 - X Data Table Consider the data set given in the accompanying table. Complete parts (a) through (c). Click the icon to view the data table. - 2 - 1 0 1 2 V - 2 2 3 5 9 6 Print Done (b) Find the equation of the line containing the points ( - 2, - 2) and (2,5). The equation of the line is y = x +]. View an example Statcrunch Get more help - Clear all Check answer4.2 Least-Squares Regression 0 of 1 Point Part 1 of 2 Suppose the line y = 2.8333x - 22.4967 describes the relation between the club-head speed (in miles per hour), x and the distance a golf ball travels (in yards), y. (a) Predict the distance a golf ball will travel if the club-head speed is 100 mph b) Suppose the observed distance a golf ball traveled when the club-head speed was 100 mph was 265 yards. What is the residual? (a) The golf ball will travel yards. (Round to the nearest tenth as needed.) Statcrunch Tech help Ask my instructor Clear all Check answer4.2 Least-Squares Regression 0 ofl Point Which of the following is true 01 the least-squares regression line 3? = b4x+ bn? The least-squares regression line minimizes the sum of squared residuals. The leastsquares regression line always contains the point (0,0). The sign of the linear correlation coefcient, r, and the sign of the slope of the least-squares regression line, [71, are the same. The least-squares regression line maximizes the sum of squared residuals. WP??? The predicted value of y, y, is an estimate of the mean value of the response variable for that particular value of the explanatory variable. 3" The predicted value of y, )7, is an estimate of the mean value of the explanatory variable for that particular value of the response variable. G. The least-souares regression line always contains the point (is?) Statcrunch Tech help Ask my instructor 4.2 Least-Squares Regression 0 of 1 Point Part 1 of 6 A pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. She randomly selects 11 children from her practice, measures their heights and head circumferences and obtains the accompanying data. Complete parts (a) through (e). Click the icon to view the data table. (a) Find the least-squares regression line treating height as the explanatory variable and head circumference as the response variable. The least-squares regression line is y = x +. (Round to four decimal places as needed.) View an example Statcrunch Get more help - Clear all Check answer4.2 Least-Squares Regression 0 of 1 Point Data Table A pediatrician wants to determine the relation that exists between a child's h- Complete parts (a) through (e). E Click the icon to View the data table. Full data set eights and head circumferences and obtains the accompanying data. Head Head Height,x circumference, "Eightx circumference, (Inches) y (inches) (Inches) y (inchest (a) Find the least-squares regression line treating height as the explanatory 27475 17,7 27 17.3 A 245 17,2 27.5 17.5 The leastsquares regression line is y = 'x +' . 2545 1741 26.75 173 (Round to tour decimal places as needed.) an 17 1 7p: 7; 17 : View an example Statcrunch Get more help - 0 OH Point Data Table Apediatrician wants to determine the relation that exists between a child's h Complete parts (a) through (e). @ Click the icon to View the data table. eights and head circumferences and obtains the accompanying y (inches) I 17.3 17.5 17.3 17.5 17.5 (inches) 27 27.5 26.75 26.75 27.5 y (inches) I 17.7 17.2 17.1 17.1 16.9 17.6 (inches) 27.75 24.5 25.5 26 25 (3) Find the least-squares regression line treating height as the explanatory The least-squares regression line is ; = x + (Round to four decimal places as needed.) -l View an example Statcrunch Get more help A

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