2. A. Draw the scatter plot and compute the predicted equation of the line using the...
help please 2. A. Draw the scatter plot and compute the predicted equation of the line using the least square Regression line method. Show all the steps, do not just write the answer. X 0 1 3 4 7 Y 7 5 4 3 2 T
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 pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying comma xHours spent studying, x 0 2...
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 pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, X 2 5 5 (a) x =...
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 6.0 66.5 10.0 67. 5 10.5 7 1.5 12.0 72.5 13.0 74.5 13.5 72.5 Find the regression equation. (Round to three decimal places as needed.)
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 pair of variables have a significa correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x 758 621 518 510 492 483 (a)...
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 pair of variables has a significant correlation.) Then use the regressiorn equation to predict the value of y for each of the given x-values, if meaningful. The table shows the shoe size and heights (in) for 6 men Shoe size: x-T8.5 110T15|130|135 (a) x=size 10 0 (b)x-size 10.5 3.5 745 725(c)x-s size 16.0 (d)x- size...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. (a)x=180 (b)x=90 (c)x=120 (d)x=50 Calories, x Sodium, y 150 ...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x 150 170 130 120 90 180 (a)...
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 pair of vaiables have a significant correlation ) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below (a) x 2 hours (c)x-15 hours (b) x =...
A. Draw a scatter plot of these data, with the number of earthworm species as the predictor/explanatory variable. B. Using the following summary calculations, calculate the regression line. ̅̅ X = 2.205 Y = 0.215 ̅2̅2̅̅ ∑(X−X) =86.359 Σ(Y−Y) =0.366 ∑(X−X)(Y−Y)=2.453 What is the slope of the line? What is the intercept of the line? If the MSerror (=MSresidual) is 0.0080, then what is the SE of the slope? What is the upper 95% CI for the slope? What is...