regression slope (beta). We

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A least-squares regression line for a set of data with dependent variable y and independent variable x produces a 95% confidence interval [-0.5,1.8]
on the regression slope (beta). We can conclude that:
the predicted value of y for a given x will lie in the range [-0.5x,1.8x] 95% of the time
the regression slope must be zero
O beta will fall inside the range [-0.5,1.8] 95% of the time
The data show no evidence of a linear relation between x and y
O none of these
Transcribed Image Text:A least-squares regression line for a set of data with dependent variable y and independent variable x produces a 95% confidence interval [-0.5,1.8] on the regression slope (beta). We can conclude that: the predicted value of y for a given x will lie in the range [-0.5x,1.8x] 95% of the time the regression slope must be zero O beta will fall inside the range [-0.5,1.8] 95% of the time The data show no evidence of a linear relation between x and y O none of these
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the regression slope (beta) value fall under confidence interval 

Yi=β0+β1 Xii

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