Calculate the correlation coefficient for the following ordered pairs. 8 5 3 2 O 5 y...
14.2.1 Calculate the correlation coefficient for the following ordered pairs. x y 4 5 6 10 1 6 6 6 6 8 r= (Round to three decimal places as needed.)
Calculate the correlation coefficient for the following ordered pairs. х 3 6 6 2 5 6 5 у 7 9 6 r= (Round to three decimal places as needed.)
Calculate the correlation coefficient for the following ordered pairs. X 5 7 2 7 7 у 5 8 5 5 6 r (Round to three decimal places as needed.)
Consider the following set of ordered pairs. 5 4 1 n 5 5 3 2 4 3 у 3 a) Calculate the slope and y-intercept for these data. b) Calculate the total sum of squares (SST). c) Partition the sum of squares into the SSR and SSE. a) Calculate the slope and y-intercept for these data. X у (Round to four decimal places as needed.) b) Calculate the total sum of squares (SST). SST = (Round to one decimal place...
4 Consider the following set of ordered pairs. a) Calculate the slope and y-intercept for these data. b) Calculate the total sum of squares (SST). c) Partition the sum of squares into the SSR and SSE. a) Calculate the slope and y-intercept for these data. y- Round to four decimal places as needed.) b) Calculate the total sum of squares (SST) SST c) Partition the sum of squares into the SSR and SSE. (Round to one decimal place as needed.)...
Compute the correlation coefficient. x 2 7 6 3 4 y 4 6 5 3 2 Send data to Excel The correlation coefficient is . Round the answers to three decimal places.
onsider the set of ordered pairs shown below. Assuming that the regression equation is y=0.400 + 1,000x and the SSE = 32, onstruct a 95% prediction interval for x = 5. X 13 6 3 5 3 o Y 14 6 4 6 2 Click the icon to view a portion of the student's t.distribution table. Calculate the upper and lower limits of the prediction interval UPL= LPLE (Round to three decimal places as needed.)
Consider the following set of ordered pairs. X 4 5 4 6 3 3 у a) Calculate the slope and y-intercept for these data. b) Calculate the total sum of squares (SST). c) Partition the sum of squares into the SSR and SSE. a) Calculate the slope and y-intercept for these data. y=-x (Round to four decimal places as needed.)
Compute the correlation coefficient. Show Example X6 3 1 4 5 y 5 3 2 71 Send data to Excel al. The correlation coefficient is Round the answers to three decimal places.
Consider the following set of ordered pairs. x 2 7 1 4 30 y 6 9 5 8 6 Assuming that the regression equation is y = 4.491 +0.679x and that the SSE = 1.0189, construct a 95% confidence interval for the slope. Click here to see the t-distribution table, page 1 Click here to see the t-distribution table, page 2 Construct a 95% confidence interval for the slope. LCL = and UCL = (Round to three decimal places as...