16. Use your calculator to make two lists and a scatterplot for the data below. Find both thelinear and exponential equations-of-best-fit, (regression equations) and the correspondingr values fore each equation. Then answer the questions that follow.19. A smallincrease inX01W|NT23456y$22,600$18,500$16,000$15,100$14,200$13,300$12,400y=mesticy=for $27 per dab) Find the daily rental price the LFor parts a and b, round decimal values in your answer to the nearest hundredth.at is the maximum revenue)a) The linear regression equation isb) The exponential regression equation isemberFor each $1aper your answec) Which regression model is the better choice, linear or exponential?;r=on. 2018 for;r=des muttons.

The given table of values, x y 0 $22600 1 $18500 2 $16000 3 $15100 4 $14200 5 $13300…

Answered: 16. Use your calculator to make two…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Mary used a sample of 68 large U.S. cities to estimate the relationship between Crime (annual property crimes per 100,000 persons) and Income (median annual income per capita, in dollars). Her estimated regression equation was Crime = 428 + 0.050 Income. If Income decreases by 500, we would expect that Crime will Group of answer choices remain unchanged. decrease by 25. increase by 500. decrease by 50.
(please solve within 15 minutes I will give thumbs up)
Please solve what’s not filled in.
help with question number 1 and 2 please. 1.The regression equation is ?? (Round to one decimal place as needed.) 2. The best predicted gross for a movie with a $125 million budget is $ million.
Given the regression equation Y = 43 - 10X, the change in Y when X changes by -3 is A. -30 B. 30 C. -13 D. 13
Choose the correct answer of each number. 1. An analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. Used regression analysis to predict $ sales (y) by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2. If the advertising budgets of one of the branches of the corporation is now $45,000 (which is 10% more than before) and the salary of sales representatives is now $8,500 (which is 20% less than before), then the predicted sales before in that branch is a. $417,750 b. $341,250 c. $376,700 d. $335,6502. An analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. Used regression analysis to predict $ sales (y) by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2. If…
Use the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. X 5 b. Graph the regression equation and the data points. y -1 10 -10 y B. 10 -10- C. a. Find the regression equation for the data points. ŷ-0 (Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.) b. Graph the regression equation and the data points. O A. 10 T -10- 1 2 -1 3 327 D. -10 4 y 4 28 0
2. Consider the function y(x) = 5x over the interval [0, 10]. (a) If the points A(0, y(0)), B(5, y(5)), and C(10, y(10)) are on the curve represented by the above function, find the slope of the lines (secants) AB, and AC, respectively. (b) If x represents time and y represents the displacement of a particle moving along a line, what is the physical meaning of your results to part (a)? (c) Now consider a point D(10 – h, y(10 – h)) on the curve represented by the given function, find the slope of the line DC. (d) As h → 0, what is the limiting value of your result to part (c)? (e) What is its physical meaning of your result to part (d) if again x represents time and y represents the displacement?
a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,3), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b).
For the data in the table, find the regression equation and then use it to answer the questions below. Here, x gives the number of years of experience for nurses, and y is their annual salary (in $1000's). Round the slope and y-intercept to two decimals, then do not round your answer. Years of Salary Experience ($1000's) 2 41 4 45 8 51 9. 52 12 53 14 54 16 55 18 56 19 57 25 60 a. What is the predicted salary (in $1000's) for a nurse with 33 years of work experience? b. Is your answer to part (a) an extrapolation? O No: the value of x is within the range of the data, so the prediction is meaningful O Yes: the value of x is outside the range of data, so the prediction may not be meaningful Submit Question
For the data in the table, find the regression equation. Here, x gives the number of years of experience for nurses, and y is their annual salary (in $1000's). Round the slope and y-intercept to two decimals, then use your equation to answer the questions below. Years of Salary Experience ($1000's) 40 4 42 43 45 10 46 13 52 15 53 17 56 21 58 22 60 a. What is the expected salary (in $1000's) for a nurse with no work experience? b. By what amount (in $1000's) does an extra year of experience boost the annual salary?
A. Develop an estimated regression equation that can be used to predict the price of the stock based on the number of shares of company's stocks sold and the volume of exchange. B. Interpret the coefficients of the estimated regression equation that you found in Part a. C. If in a given day, the number of shares of the company that were sold was 94,500 and the volume of exchange on the New York Stock Exchange was 16 million, what would you expect the price of the stock to be?

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