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A Study Was Conduced to Determine the Effect of Extra

Question 165

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A study was conduced to determine the effect of extra help sessions attended on students ability to avoid mistakes on a 20- multiple choice test. The data shown below represent the number of extra help sessions attended (x) and the average number of mistakes (y) recorded. A study was conduced to determine the effect of extra help sessions attended on students ability to avoid mistakes on a 20- multiple choice test. The data shown below represent the number of extra help sessions attended (x) and the average number of mistakes (y) recorded.   Use the regression formulas to find the least-squares line for the data.   = ______________ Plot the six points and graph the line. Does the line appear to provide a good fit to the data points? ______________ Use the least-Squares line to predict the value of y when x = 3.5. ______________ Do the data provide sufficient evidence to indicate that y and x are linearly related at the 1% level of significance? p-value: ______________ Conclude: ______________ y and x ______________ linearly related. Calculate the coefficient of determination. r<sup>2</sup> = ______________ What information does this value give about the usefulness of the linear model? ________________________________________________________ Use the regression formulas to find the least-squares line for the data. A study was conduced to determine the effect of extra help sessions attended on students ability to avoid mistakes on a 20- multiple choice test. The data shown below represent the number of extra help sessions attended (x) and the average number of mistakes (y) recorded.   Use the regression formulas to find the least-squares line for the data.   = ______________ Plot the six points and graph the line. Does the line appear to provide a good fit to the data points? ______________ Use the least-Squares line to predict the value of y when x = 3.5. ______________ Do the data provide sufficient evidence to indicate that y and x are linearly related at the 1% level of significance? p-value: ______________ Conclude: ______________ y and x ______________ linearly related. Calculate the coefficient of determination. r<sup>2</sup> = ______________ What information does this value give about the usefulness of the linear model? ________________________________________________________ = ______________
Plot the six points and graph the line.
Does the line appear to provide a good fit to the data points?
______________
Use the least-Squares line to predict the value of y when x = 3.5.
______________
Do the data provide sufficient evidence to indicate that y and x are linearly related at the 1% level of significance?
p-value:
______________
Conclude:
______________
y and x ______________ linearly related.
Calculate the coefficient of determination.
r2 = ______________
What information does this value give about the usefulness of the linear model?
________________________________________________________

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-0.55714x + 6.5; blured image ;
Yes; 4.55; .000248; ...

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