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- Someone can help. Pleass# The table contains the state population and the number of licensed drivers in the state (both in millions) for the states with population under 1 million in 2014. The regression model for this data is y 0.7x where x is the state population (in millions) and y is the number of State licensed drivers (in millions) in the state. (A) Draw a scatter plot of the data and a graph of the model on the same axes. Choose the correct graph below OC Diverse) 07 Se pun CHANG The estimated population of state Jin 2014 is (Type a whole number Round to the nearest thousand as needed) 0.5 (8) If the population of state H in 2014 was about 1.6 million, use the model to estimate the number of licensed drivers in state H in 2014 The estimated number of licensed drivers in state H in 2014 is (Type a whole number. Round to the nearest thousand as needed) (C) If the number of licensed drivers in state J in 2014 was about 1,043.000, use the model to estimate the population of state Jin 2014 AOCDEFO А С OD…The annual expenditure for cell phones varies by the age of an individual. The average annual expenditure E(a) (in $) for individuals of age a (in years) is given below:a: 20, 30, 40, 50, 60, 70E(a): 502, 658, 649, 627, 476, 2131. Use quadratic regression to find the model that best represents the data.2. At what age is the yearly expenditure for cell phones the greatest? Round the answer to the nearest year. YOU MUST SHOW THE WORK FOR THIS PART!
- In simple linear regression: a. The size of the coefficient for each IV gives you the size of the effect that varilable has on the DV. b. The sign of the coefficient gives you the direction of the effect. c. With a single IV, the coefficient tells you how much the DV is expected to increase or decrease when the IV increased by one unit. d. All of the above.A set of X and Y scores has SSX = 15, SSY = 24, and SP = 60. The regression equation for these scores will have a slope constant of ______. a. 6 b. 5 c. 3 d. 4K Different hotels in a certain area are randomly selected, and their ratings and prices were obtained online. Using technology, with x representing the ratings and y representing price, we find that the regression equation has a slope of 130 and a y-intercept of - 370. Complete parts (a) and (b) below. OA.y=+Dx OB.y=+ OC. y=+x X --HO 40
- If the slope of the regression line is calculated to be 2.87 and the y' intercept is 13.84 then the approximated value of y when x is 9 is __________. Only the final answer should be rounded-off to TWO decimal places.I need the answer as soon as possibleThe following data on x maternal age in years of the young birth mothers and y = weight of baby born in grams summarizes the result of a study. Assume that a simple linear regression model y = Bo + B1x + e is an appropriate model for the study. x-bar = 17 (avg of x's) y-bar = 3004.1 (avg of y's) SSx = 20 SSxy %3D 4903 SSw 1539182.9 n 10 Calculate the value of s-(standard error of regression) and enter the answer to the nearest tenth (1 decimal place).
- An interaction term in a multiple regression model may be used when the coefficient of determination is small. there is a curvilinear relationship between the dependent and independent variables. neither one of 2 independent variables contribute significantly to the regression model. the relationship between X1 and Ychanges for differing values of X2.Match the regression equation with the appropriate graph. Drag each graph given below to its corresponding regression equation to the right. 13. y = - 1.361x+ 21.952 Ny Ay 140- 30- 120- 25- 100- 20- 80- 15- 60- 40- 10- 20- 5- 14. y = 2.115x+21.958 10 20 30 40 50 2 4 8. 10 Ay Ay 30- 70- 60- 25- 50- 20- 40- 15- 30- 10- 20- 5- 10- 15. y = 2.125x + 9.588 5 10 15 20 25 30 35 40 5 10 15 20 25 30 16. y = - 0.705x + 27.214Define both x and y in all problems. x is the cause, and y is the effect. This is the most important step when doing linear regression, otherwise, all the remanding parts will be wrong.