Run a regression analysis on the following bivariate set of data with y as the response variable.

x	y
21.5	26.6
23.6	33.4
34.5	36.6
28.5	34.7
35.8	37.2
9.7	28
34.4	37
37.7	35.4
38.6	35.3
19.3	25
39.3	34.1
11.3	27.2

Find the correlation coefficient and report it accurate to three decimal places.
r =

What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.  (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.)
r² = %

Based on the data, calculate the regression line (each value to three decimal places)

y = x +

Predict what value (on average) for the response variable will be obtained from a value of 32.6 as the explanatory variable. Use a significance level of $\displaystyle \alpha={0.05}$ to assess the strength of the linear correlation.

What is the predicted response value?  (Report answer accurate to one decimal place.)
y =