ΣΧ = 28, ΣΥ = 67, ΣΧ2 = 150, ΣΥ2 = 695, ΣΧΥ = 293 and n = 7 1) The slope of the estimated regression line to 3 decimal places is 2) The intercept of the estimated regression line to 3 decimal places is 3) The standard error of the estimate to 2 decimal places is 4) The standard error of the slope to 3 decimal places is 5) The 95% confidence interval to 3 decimal places is between and

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Given
ΣΧ = 28, ΣΥ = 67, ΣΧ2 = 150, ΣΥ2 – 695, ΣΧΥ = 293 and n = 7
1) The slope of the estimated regression line to 3 decimal places is
2) The intercept of the estimated regression line to 3 decimal places is
3) The standard error of the estimate to 2 decimal places is
4) The standard error of the slope to 3 decimal places is
5) The 95% confidence interval to 3 decimal places is between
6) Using alpha = 0.05, because the absolute value of the test statistic is
Oless than the absolute value of the critical value, we fail to reject the null hypothesis and cannot conclude
that the population slope is not equal to zero.
and
Oless than the absolute value of the critical value, we can reject the null hypothesis and conclude that the
population slope is equal to zero.
Ogreater than the absolute value of the critical value, we can reject the null hypothesis and conclude that
the population slope is not equal to zero.
Ogreater than the absolute value of the critical value, we fail to reject the null hypothesis and conclude that
the population slope is equal to zero.
Transcribed Image Text:Given ΣΧ = 28, ΣΥ = 67, ΣΧ2 = 150, ΣΥ2 – 695, ΣΧΥ = 293 and n = 7 1) The slope of the estimated regression line to 3 decimal places is 2) The intercept of the estimated regression line to 3 decimal places is 3) The standard error of the estimate to 2 decimal places is 4) The standard error of the slope to 3 decimal places is 5) The 95% confidence interval to 3 decimal places is between 6) Using alpha = 0.05, because the absolute value of the test statistic is Oless than the absolute value of the critical value, we fail to reject the null hypothesis and cannot conclude that the population slope is not equal to zero. and Oless than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is equal to zero. Ogreater than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is not equal to zero. Ogreater than the absolute value of the critical value, we fail to reject the null hypothesis and conclude that the population slope is equal to zero.
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