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Qudsiya Anis verified

Numerade educator

What does the R2 value on a best-fit line tell us?

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Aparna Shakti verified

Numerade educator

Based on the data shown below, a statistician calculates a linear model y = 1.28 x + 19.61 . x y 2 22.96 3 23.79 4 22.92 5 26.15 6 27.98 7 28.01 8 29.64 9 31.67 Use the model to estimate the y-value when x = 6 y = Use the model to estimate the y-value when x = 5 y =

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Sanchit Jain verified

Numerade educator

You run a regression analysis on a bivariate (two-variable) set of data. You obtain the regression equation y = − 3.334 x + − 44.677 with a correlation coefficient of r = − 0.539 . You want to predict what value (on average) for the explanatory variable will give you a value of 160 on the response variable. What is the predicted explanatory value? x = (Report answer accurate to one decimal place.)

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Sanchit Jain verified

Numerade educator

ou run a regression analysis on a bivariate (two variable) set of data). you obtain the regression equation y = − 2.412 x + 2.739 You want to predict what value (on average) for the response variable will be obtained from a value of 50 as the explanatory variable. What is the predicted response value?

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Sanchit Jain verified

Numerade educator

The line of best fit through a set of data is y = 53.374 + 4.174 x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 50? y = Round to 1 decimal place.

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