The relationship between hours of preparation and average score on a field exam routinely administered Friday and Saturday evenings is captured in this plot. 300 250 200 150 100 50 0 0 2 4 Average Score 6 10 12 Which of these statements is best? A linear transformation would permit a good regression line fit. An inverse transformation would permit a good regression fit A squared transformation would permit a good regression fit. A cubic transformation would permit a good regression fit. 14 16

help please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working

EQuestion Help 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 IA Test score,y 3 (a) x=2 hours (c) x= 12 hours (b) x = 25 hours (d) x= 4.5 hours 38 44 50 47 61 68 Find the regression equation. y = 6.269 x+ (32.48) (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. OD. OB. OC. O A. 80- 80- 80 80-4 0-+ Hours studying Hours studying Hours studying Hours studying 10 18 PM (E) More 10/3/2020 Click to select your answer(s)

In R there is a dataset called diamonds that contains measurements of about 500 diamonds sold in the US. There are three variables present: price (price in US dollar), carat (weight of the diamond), and table (width of top of diamond relative to the widest point). The attached image is a screenshot of the R dataset with the regression table and all that.   ANSWER THIS QUESTION IN WORDS: Discuss the regression between the variables table and price. You should address the explanatory variable, response variable, correlation, and sign. You should interpret the slope, the t and p-value, and how much is explained by the response.

Answer questions A_C show work

Two variables  are defined, a regression equation is given, and one data point is given.    Study = number of hours spent studying for an exam                                                             Grade = grade on the exam                                                                                                                                                                                                                                                          GRADE= 41.0 + 3.7 (STUDY)                                                                                                                                                                                                                THE DATA POINT IS A STUDENT WHO STUDIED 10 HOURS AND RECIEVED AN 81 ON THE EXAM…

Please do not give solution in image format thanku