Question

The data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults. What is the best predicted value for y given x = 52? Assume that the variables x and y have a significant correlation. Age, x 38 41 45 48 51 53 57 61 65 Pressure, y 116 120 123 131 142 145 148 150 152 ? ?. 138 ? ?. 140 OC. 134 OD. 136

          The data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults. What is the best predicted value for y given x = 52? Assume that the variables x and y have a significant
correlation.
Age, x 38 41 45 48 51 53 57 61 65
Pressure, y 116 120 123 131 142 145 148 150 152
? ?. 138
? ?. 140
OC. 134
OD. 136
        
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The data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults. What is the best predicted value for y given x = 52? Assume that the variables x and y have a significant
correlation.
Age, x 38 41 45 48 51 53 57 61 65
Pressure, y 116 120 123 131 142 145 148 150 152
? ?. 138
? ?. 140
OC. 134
OD. 136

Added by Phyllis D.

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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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correlation. able[[Age, x,38,41,45,48,51,53,57,61,65],[Pressure, y,116,120,123,131,142,145,148,150,152]] A. 138 B. 140 C. 134 D. 136 The data below are the ages and systolic blood pressures (measured in milimeters of mercury of 9 randomly selected adults. What is the best predicted value for y given x = 52? Assume that the variables x and y have a significant correlation. Age, x 38 41 45 48 51 53 57 61 65 Pressure, y 116 120 123 131 142 145 148 150 152 OA.138 O B.140 O C.134 OD.136
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Transcript

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00:01 Hello students in this question given the data we need to find correlation coefficient that is n summation x y minus summation x into summation y divided by square root of n into summation x square minus summation x whole square into n into summation y square minus summation y whole square.
00:26 So, this is the data.
00:28 So, here i have calculated the required information that is x into y x square and y square...
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