You run a regression analysis on a bivariate set of data (n = 101). You obtain the regression equation y = 4.436x - 29.838 with a correlation coefficient of r = 0.908 (which is significant at a = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 30 on the response variable. What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)

Identify two problems with the following question. Explain how you would rewrite it so that it is more appropriate.given that youth crime is on the rise in urban areas, what should be the top enforcement priority for our local police force? which one is correct answer? 1.youth crime 2.car theft 3.illegal drug use 4.violent crime

In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). The table shows the number of inches of rainfall and the yield (in bushels per acre). Use for problem #17 and #18. Rainfall (in inches), x 9.8 8.1 12.7 11.8 18.1 9.6 6.3 14.9 15.3 Yield (bushels per acre), y 48.5 44.2 56.8 57 80.4 47.2 29.9 74 76.8 17. Compute the linear correlation coefficient between the two variables above. (Round to thousandths.) 18. Determine whether a linear relation exists. (Show work to justify answer.)

both sheets are for the same problem.