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A) Calculate the F statistic  Round to two decimal places for F Statistic B) Calculate the P Value Round to three decimal places for P Value  C) Identify the​ t-statistic for x1 from the technology output for the regression model​, rounding to two decimal places.   D)Identify the​ p-value for the test statistic from the technology output​, rounding to three decimal places

A) Calculate the F statistic  Round to two decimal places for F Statistic B) Calculate the P Value Round to three decimal places for P Value  C) Identify the​ t-statistic for x1 from the technology output for the regression model​, rounding to two decimal places.   D)Identify the​ p-value for the test statistic from the technology output​, rounding to three decimal places

MATLAB: An Introduction with Applications
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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A) Calculate the F statistic 

Round to two decimal places for F Statistic

B) Calculate the P Value

Round to three decimal places for P Value 

C) Identify the​ t-statistic for
x1
from the technology output for the regression
model​,
rounding to two decimal
places.
 
D)Identify the​ p-value for the test statistic from the technology
output​,
rounding to three decimal
places.
 
*15.2.22-T Tutoring Question Help ▼ An accounting firm, in an effort to explain variation in client profitability, collected the data below. Complete parts a through e below. E Click the icon to view the client data. a. Incorporate the client type into a regression analysis using dummy variables. Describe the resulting multiple regression estimate. Let x, represent the hours spent working with the client, let x, be the dummy variable for service clients, and let x, be the dummy variable for governmental clients. ŷ = 1951.6 + ( 16.7) x, + ( - 459.8 ) x, + ( – 2381.2 ) x3 Price against Rooms and Neighborhoud |X2 (Round to one decimal place as needed.) Describe the model by interpreting the coefficients. The coefficient of x, represents the average change in profitability for a unit change in hours, holding client type Profitability Hours Client Type The coefficient of x2 represents the average difference in profitability for manufacturing and service clients, holding hours 2307 44 1 The coefficient of x, represents the average difference in profitability for manufacturing and governmental clients, holding hours 4150 52 2 229 27 3 b. Test to determine if this model is useful in predicting the net profit earned from the client. Use a = 0.05. Write the hypotheses. 1199 59 2 1409 27 Họ: B1 = B2 = B3 = 0 507 23 3 HA: At least one of B1, B2, 0r B3 is not zero. - 690 32 3468 49 1 Calculate the test statistic. 2445 49 1 1991 29 2 F = 4.91 (Round to two decimal places as needed.) 201 36 Client Type: 1, if manufacturing 2, if service 3, if governmental Print Done
Transcribed Image Text:*15.2.22-T Tutoring Question Help ▼ An accounting firm, in an effort to explain variation in client profitability, collected the data below. Complete parts a through e below. E Click the icon to view the client data. a. Incorporate the client type into a regression analysis using dummy variables. Describe the resulting multiple regression estimate. Let x, represent the hours spent working with the client, let x, be the dummy variable for service clients, and let x, be the dummy variable for governmental clients. ŷ = 1951.6 + ( 16.7) x, + ( - 459.8 ) x, + ( – 2381.2 ) x3 Price against Rooms and Neighborhoud |X2 (Round to one decimal place as needed.) Describe the model by interpreting the coefficients. The coefficient of x, represents the average change in profitability for a unit change in hours, holding client type Profitability Hours Client Type The coefficient of x2 represents the average difference in profitability for manufacturing and service clients, holding hours 2307 44 1 The coefficient of x, represents the average difference in profitability for manufacturing and governmental clients, holding hours 4150 52 2 229 27 3 b. Test to determine if this model is useful in predicting the net profit earned from the client. Use a = 0.05. Write the hypotheses. 1199 59 2 1409 27 Họ: B1 = B2 = B3 = 0 507 23 3 HA: At least one of B1, B2, 0r B3 is not zero. - 690 32 3468 49 1 Calculate the test statistic. 2445 49 1 1991 29 2 F = 4.91 (Round to two decimal places as needed.) 201 36 Client Type: 1, if manufacturing 2, if service 3, if governmental Print Done
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