Tucson Machinery, Ic., manufactures numerically controlled machines, which sell for an average price of $11.0 million each. Sales for these NCMS for the past two years were as follows: Use Exhibit 3.10. QUANTITY QUANTITY QUARTER LAST YEAR _QUARTER THIS YEAR (UNITS) (UNITS) 11 I 14 II 18 II 23 III 25 III 27 IV 15 IV 21 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) Y = t

Tucson Machinery, Ic., manufactures numerically controlled machines, which sell for an average price of $11.0 million each. Sales for these NCMS for the past two years were as follows: Use Exhibit 3.10. QUANTITY QUANTITY QUARTER LAST YEAR _QUARTER THIS YEAR (UNITS) (UNITS) 11 I 14 II 18 II 23 III 25 III 27 IV 15 IV 21 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) Y = t

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance (x) / 10 / 5 / 6 / 6 / 9 / 3 / 3 / 4 / 5 / 9 Attitude (y) / 3 / 9 / 7 / 6 / 8 / 10 / 3 / 3 / 4 / 7 Use the given data to find the equation of the regression line. Enter the slope. (Round your answer to nearest thousandth.)
A statistical program is recommended. The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Weekly Television Gross Newspaper Advertising Advertising ($1,000s) ($1,000s) Revenue ($1,000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 1 (a) Develop an estimated regression equation with the amount of television advertising as the independent variable. (Round your numerical values to two decimal places. Let x₁ represent the amount of television advertising in $1,000s and y represent the weekly gross revenue in $1,000s.) y = 88.64 + 1.60x1 X (b) Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables. (Round your numerical values to two decimal places. Let x₁ represent the amount of television advertising in $1,000s, x₂ represent the amount of…
Training Dept. of Nimrod Inc wants to develop a regression-based compensation model (compensation in $ per year, Comp) for its mid-level managers to encourage performance, loyalty, and continuing education based on three variables. ▪ Business unit-profitability (Profit per year in $). ▪ Working experiences in Nimrod Inc (Years). ▪ Whether or not a manager has a graduate degree (Grads). If a manager has a graduate degree equals 1, 0 otherwise. Table Attached Question: Use the (full) model to determine the compensation for a manager who has been working for twelve years in a company, no graduate degree, and Nimrod Inc profit of $8.000.000 last year.
How can I answer the following homework question as shown in the images? I would appreciate an thorough explanation and final answers. Thank you!
A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 10 8 6 13 19 18 27 10 7 Money 58 25 41 51 84 81 87 45 15 1. The equation of the linear regression line is: ˆyy^ = ______ +_____ xx (Please show your answers to two decimal places)
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