AP Statistics 2017

s is an estimator of σ, the standard deviation of the residuals. Thus, there are actually three paramete ...

example: The data in the following table give the top 15 states in terms of per pupil expenditure in 1985 ...

Test the hypothesis, at the 0.01 level of significance, that there is no straight-line relationship betw ...

(To do this significance test for the slope of a regression line on the TI-83/84, first enter Per Pupi ...

example: Consider once again the earlier example on predicting teacher salary from per pupil expenditure. Constr ...

For example, how would you like to compute by hand? Fortunately, you probably will never have to do th ...

sided test, you would need to divide the given P- value by 2). • s is the standard error of the ...

c. For each given value of the independent variable, the distribution of the response variable has ...

In the printout from question #4, we were given the regression equation = 282 + 0.634x . The t ...

b. –1.72 c. 0.4925 d. 6.143 e. 0.0802 A 99% confidence interval for the slope of ...

prediction? Interpret the slope of the regression line found in question #1 in the context of the p ...

Some bored researchers got the idea that they could predict a person’s pulse rate from h ...

The following is most of a probability distribution for a discrete random variable. Find mean a ...

a. Would you describe the point marked with a box as an outlier, influential point, neither, or ...

The residual pattern seems quite random. A line still appears to be a good model for the data. ...

I . Let β = the true slope of the regression line for predicting SAT Math score from the percen ...

4. P (7) = 1 – (0.15 + 0.25 + 0.40) = 0.20. μ (^) x = 2(0.15) + 6(0.25) + 7(0.20) + 9(0.40) = 6.8. ...

CHAPTER 13 Inference for Regression The following regression output is for predicting the number of calories ...

(A) The scatterplot looks linear and there is no curve in the residual plot, so a significance test ...

The appropriate critical value to construct a 90% confidence interval for the slope of the regression line i ...