Which of the following statements is TRUE? I. In multiple linear regression, there should not be any collinearity among the independent variables. II. In regression the independent variable is predicted by dependent variable. III. The best fit line is the line that minimizes the sum of the residues.   a.) I and II b.) I and III c.) II and III d.) I, II, III

The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. use excel grams Vitamin Ccontent in mg 60 14.3 75 21 90 27 105 34.3 120 41 135 48.7 150 54   A)  Find the regression equation:      y =  + xxRound your answers to 3 decimal places   B)  Answer the following questions using your un-rounded regression equation.   If we test 180 grams of raspberries what is the expected Vitamin C content?   mgmg (round to the nearest tenth)

Show your work please.

Prices and mileage of 44 Toyota Prius cars.  Prices ranged from $17,043 to $48,935.  Mileage ranged from 403 to 70,838.   While I did not share the cars were 2017 to 2020 models. Please show all work.  Create a scatter plot of prices (Y) and mileage (X). What interpretation can you make using this scatter plot?  Does this model meet the Linearity assumption? Provide evidence and a discussion of support for meeting the assumption.  Does this model meet the Independent Errors assumption? Provide evidence and a discussion of support for meeting the assumption.  Price Mileage 17167 67380 24500 8137 20700 14907 20700 13906 18995 39268 21985 3292 19995 32630 19983 36074 19477 35484 20980 23954 24940 7001 24940 7991 25480 3476 17960 41051 25980 403 24500 8137 18588 66109 18788 51022 19200 32753 21985 38838 24512 2307 22997 33671 18480 27233 18480 27758 17043 70838 17761 21967 18488 11686 17793 26080 17900 36655 18100 46264…