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The correlation between the height and weight of a teenagers aged 13-18 is found to be about r = 0.6. Suppose we use the height x of a teenager to predict the weight y of the teenager. We can conclude that: - The fraction of variation in weights explained by the least-squares regression line of weight on height is 0.36. - height is generally 60% of a teenager's weight. - about 60% of the time, age will accurately predict weight. - the least-squares regression line of y on x would have a slope of 0.6. - None are correct.

          The correlation between the height and weight of a teenagers aged 13-18 is found to be about r = 0.6. Suppose we use the height x of a teenager to predict the weight y of the teenager. We can conclude that:

- The fraction of variation in weights explained by the least-squares regression line of weight on height is 0.36.
- height is generally 60% of a teenager's weight.
- about 60% of the time, age will accurately predict weight.
- the least-squares regression line of y on x would have a slope of 0.6.
- None are correct.
        
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The correlation between the height and weight of a teenagers aged 13-18 is found to be about r = 0.6. Suppose we use the height x of a teenager to predict the weight y of the teenager. We can conclude that:

- The fraction of variation in weights explained by the least-squares regression line of weight on height is 0.36.
- height is generally 60% of a teenager's weight.
- about 60% of the time, age will accurately predict weight.
- the least-squares regression line of y on x would have a slope of 0.6.
- None are correct.

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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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The correlation between the height and weight of a teenagers aged 13-18 is found to be about r = 0.6. Suppose we use the height x of a teenager to predict the weight y of the teenager. We can conclude that: - The fraction of variation in weights explained by the least-squares regression line of weight on height is 0.36. - height is generally 60% of a teenager's weight. - about 60% of the time, age will accurately predict weight. - the least-squares regression line of y on x would have a slope of 0.6. - None are correct.
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Transcript

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00:01 Hello students let's do this question in this question the variable x represents the height and variable y represents the y so here correlation between correlation between x comma y equal to 0 .16 equal to r that is correlation coefficient denoted by r so we calculate the value of coefficient of of determination of determination equal to capital r square which becomes equal to small or bracket square equal to 0 .6 square equal to 0 .36.
00:44 So from this we observe that the fraction of variation of weights, the fraction of fraction of fraction of fraction of variation of variation, of weights of weights explained by the list square regression explained by the list square regression is list square, regression, line of weight, line of weight, on height, on height, is 0 .336...
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