3.1 1.6 1.1 1.4 2.3 3.6 2.6 3.5 3.3 3.8 3.6 1.9 1.3 1.1 2.6 2.7 3.8 1.5 3.8 3.7 etermine the least squares regression line for the data. Round values to four decima

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Here is a bivariate data set. Find the regression equation for the response variable y. X y 32.6 50.4 56.5 9.4 74.6 8.8 42.6 86.6 73.8 -16.6 66.4 29.6 53.9 28.5 40.7 93.7 33.2 88.1 65.9 5.2 52.9 46.9 regression equation: Enter the equation in slope-intercept form with parameters accurate to three decimal places.

Ch. 21 part 2 Run a regression analysis on the following bivariate set of data with y as the response variable. x y 43.8 54.1 41.3 51.2 35.3 60.1 48.1 44.9 42.8 51.8 44.7 50.8 39.4 56.6 38.2 56.6 40.7 53.5 45.3 51.1 45 46.7 41.1 52.2 Predict what value (on average) for the response variable will be obtained from a value of 40.1 as the explanatory variable. Use a significance level of α=0.05 to assess the strength of the linear correlation.What is the predicted response value?  (Report answer accurate to one decimal place.)y = ________________

Use General Linear Test

Answer questions A_C show work

Consider the data, 2 13 20 Yi 17 9 24 21 The estimated regression equation for these data is ŷ = 9 + 0.7x. What percentage of the total sum of squares can be accounted for by the estimated regression equation? (Round your answer to one decimal place.) % What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)

1. ŷ = ___ ＋___ X  (Round the constant two decimal places as needed. Round the coefficient to three decimal places as​ needed.) 2. Identify a characteristic of the data that is ignored by the regression line.

Stereo A company sets different prices for a particular stereo system in eight different regions of the country. The accompanying table shows the numbers of units sold and the corresponding prices (in hundreds of dollars). SALES 420 380 350 400 440 380 450 420 PRICE 5.5 6.0 6.5 6.0 5.0 6.5 4.5 5.0   Stereo: Using the SPSS file assigned to this quiz, run a regression. What is the p value for the overall regression? .001 .051 .000 1.00