The regression equation relating attitude rating (x) and job performance rating (y) for the employees of a company is y = 11.7 + 1.31x. Ten pairs of data were used to obtain the equation. The same data yield r = 0.785 and y = 73.1. What is the best predicted job performance rating for a person whose attitude rating is 68? Use 0.01 for the significance level. Round to one decimal. Show work below. job performance rating =

The datasetBody.xlsgives the percent of weight made up of body fat for 100 men as well as other variables such as Age, Weight (lb), Height (in), and circumference (cm) measurements for the Neck, Chest, Abdomen, Ankle, Biceps, and Wrist. We are interested in predicting body fat based on abdomen circumference. Find the equation of the regression line relating to body fat and abdomen circumference. Make a scatter-plot with a regression line. What body fat percent does the line predict for a person with an abdomen circumference of 110 cm? One of the men in the study had an abdomen circumference of 92.4 cm and a body fat of 22.5 percent. Find the residual that corresponds to this observation. Bodyfat Abdomen 32.3 115.6 22.5 92.4 22 86 12.3 85.2 20.5 95.6 22.6 100 28.7 103.1 21.3 89.6 29.9 110.3 21.3 100.5 29.9 100.5 20.4 98.9 16.9 90.3 14.7 83.3 10.8 73.7 26.7 94.9 11.3 86.7 18.1 87.5 8.8 82.8 11.8 83.3 11 83.6 14.9 87 31.9 108.5 17.3…

I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before

You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the rí value. The regression equation is reported as y = - 38.57x + 35.79 and the r2 = 0.4096. What is the correlation coefficient for this data set? r =