Consider the table of data below. X y 1 1.2 2 0.9 06∞OSAWN 3 1.7 y 4 5 7 8 223455 9 2.4 4.5 5.1 5.2 10 5.4 2.8 3.2 a) Use Desmos (watch Video if you need help) to find the equation of the least squares (regression) line. Round to 2 decimal places as needed. Important reminder: when entering equations for Desmos to approximate, remember to use "-" instead of "=" b) Find the R²-value. Round to 4 decimal places as needed. R²

Consider the set of dependent and independent variables given below. Perform a best subsets regression and choose the most appropriate model for these data. E Click the icon to view the data. ..... Find the most appropriate model for the data. Note that the coefficient is 0 for any variable that is not included in the model. y=+(x, + (Dx2 + (Dx3 + (OX4 (Round to three decimal places as needed.) Data table X1 X2 X3 24 y X4 64 74 22 17 43 63 29 15 30 51 78 52 20 25 49 17 38 29 39 45 12 19 37 42 47 17 17 30 33 39 23 35 8 5 37 17 15 40 30 15 10 27 44 27 20 10 30 41 20 17 7 33 49 Print Done

Using the data in the image, I need to find the regression using the data analysis in excel. I don’t know which should be the input x or the input y range. Smoking data is to be with each of the remaining four data depicting the types of cancer. Can anyone help?

The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.3 8.5 y 13.4 7 3.6 2.6 2.2 2.6 0.8 11 10.2 7.4 6 5.7 6.3 4.9 * = thousands of automatic weapons y = murders per 100,000 residents Determine the regression equation in y = ax + b form and write it below. (Round to 2 decimal places) A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 9.9 thousand automatic weapons? Answer = Round to 3 decimal places.

Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. The table shows the shoe size and heights (in.) for 6 men. Shoe size, x Height, y Find the regression equation. ŷ=x+ (Round to three decimal places as needed.) Choose the correct graph below. O A. Height (in.) 75+ 65- 8 Shoe size N O B. Height (in.) 75+ 65+ 8.5 65.0 Shoe size 9.5 66.0 o 11.0 67.0 O C. Height (in.) 75 65 8 Shoe size 12.0 73.0 Q 13.0 71.0 D. Height (in.) 75- 65 13.5 73.0 Shoe size Q o

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Compute the least-squares regression equation for the given data set. Round the slope and y-intercept to at least four decimal places. x 10 6 8 14 −7 −1 7 −9 y 3 1 30 31 0 3 −3 −15   Regression line equation: y=

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