Find the multiple regression equation for the data given in the attached image

The regression equation to predict the total world gross ticket sales from the opening weekend ticket sales is:    WorldGross^=9.23+6.87⋅OpeningWeekend   Is the interpretation for the y-intercept meaningful in this context? Explain your answer in one or two sentences.

ll Globe LTE 1:30 PM @ 66% docs.google.com Done * Required Final Exam - IC 3 (Specialization) Instruction: Click the correct answer that corresponds to the question. Find the slope of the line joining (-9, 3) and (2, -4). 1 point * 1/11 -7/11 1 -7 Evaluate * 1 point

Explain the forward difference equation?

The volume​ (in cubic​ feet) of a black cherry tree can be modeled by the equation y=−50.8+0.3x1+5.1x2​, where x1 is the​ tree's height​ (in feet) and x2 is the​ tree's diameter​ (in inches). Use the multiple regression equation to predict the​ y-values for the values of the independent variables.

Find the value of y between the points (2, y) and (5, − 1) with slope − 3.

Find the slope between the points (4/3,4/13) and (19/3,18/13)

A particular article proposed a quadratic regression model to describe the relationship between x = degree of delignification during the processing of wood pulp for paper and y = total chlorine content. Suppose that the actual model is the following. y=245+ 75x-4x² + e (a) Mean chlorine content for x = 6 is ---Select--- mean chlorine content for x = 8. (b) What is the change in mean chlorine content when the degree of delignification increases from 8 to 9? What is the change in mean chlorine content when the degree of delignification increases from 12 to 13?

Data was collected for a regression analysis comparing car weight and fuel consumption. b0 was found to be 32.7, b1 was found to be -7.6, and R2 was found to be 0.86. Interpret the y-intercept of the line. On average, each one unit increase in the weight of a car decreases its ful consumption by 7.6 units. On average, when x=0, a car gets -7.6 miles per gallon. On average, when x=0, a car gets 32.7 miles per gallon. On average, each one unit increase in the weight of a car increases its fuel comsumption by 32.7 units. We should not interpret the y-intercept in this problem.

A researcher wishes to examine the relationship between years of schooling completed and the number of pregnancies in young women. Her research discovers a linear relationship, and the least squares line is:    ˆy=5−4xy^=5-4x   where x is the number of years of schooling completed and y is the number of pregnancies.  The slope of the regression line can be interpreted in the following way: When amount of schooling increases by one year, the number of pregnancies tends to decrease by 4.   When amount of schooling increases by one year, the number of pregnancies tends to increase by 4.   When amount of schooling increases by one year, the number of pregnancies tends to increase by 5.   When amount of schooling increases by one year, the number of pregnancies tends to decrease by 5.