Find the 95%95% confidence interval for the average value of net income given that sales are $50.0million$⁢50.0⁢million. Write your answer using interval notation. Round your answer to 1 decimal place. An independent auditor is interested in studying the relationship between net income and net sales for large corporations. A random sample of 19 large corporations hasbeen selected, and the net income and net sales have been recorded. A regression analysis has been performed to estimate the model, and the output is given.Regression Analysis: Income vs. SalesThe regression equation isIncome = 82.6 +19.5 SalesCopy DataS = 386.034 R-Sq = 65.4 %R-Sq(Adj) = 63.4 %Net Income = Bo + B₁ Net SalesPredictorConstantSales+ EiCoefSE CoefT82.6 105.6 0.78 0.44519.5063.900 5.000.000 Analysis of VarianceCopy DataPredicted Values for New ObservationsCopy DataValues of Predictors for New ObservationsSourceRegressionResidual ErrorTotalNew Obs1DFSSMSF1 4795849 4795849 32.1817 2533373 149022187329222Fit1057.9 163.6SE Fit95 % CI(712.8, 1403.0)New Obs1Sales50.0P0.00095% PI(173.4, 1942.4)IfIfM

From the given information, a regression analysis has been performed to estimate the model. Here,…

Find the 95%95% confidence interval for the average value of net income given that sales are $50.0million$⁢50.0⁢million. Write your answer using interval notation. Round your answer to 1 decimal place.

Find the 95%95% confidence interval for the average value of net income given that sales are $50.0million$⁢50.0⁢million. Write your answer using interval notation. Round your answer to 1 decimal place.

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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Question

An independent auditor is interested in studying the relationship between net income and net sales for large corporations. A random sample of 19 large corporations has
been selected, and the net income and net sales have been recorded. A regression analysis has been performed to estimate the model, and the output is given.
Regression Analysis: Income vs. Sales
The regression equation is
Income = 82.6 +19.5 Sales
Copy Data
S = 386.034 R-Sq = 65.4 %
R-Sq(Adj) = 63.4 %
Net Income = Bo + B₁ Net Sales
Predictor
Constant
Sales
+ Ei
Coef
SE Coef
T
82.6 105.6 0.78 0.445
19.506
3.900 5.00
0.000

Analysis of Variance
Copy Data
Predicted Values for New Observations
Copy Data
Values of Predictors for New Observations
Source
Regression
Residual Error
Total
New Obs
1
DF
SS
MS
F
1 4795849 4795849 32.18
17 2533373 149022
18
7329222
Fit
1057.9 163.6
SE Fit
95 % CI
(712.8, 1403.0)
New Obs
1
Sales
50.0
P
0.000
95% PI
(173.4, 1942.4)
If
If
M

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