Suppose your firm generated $50.0million$⁢50.0⁢million in sales. What would be the 95%95% prediction interval for your firm's net income? Write your answer using interval notation. Round your answer to 1 decimal place

MATLAB: An Introduction with Applications
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ISBN:9781119256830
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Suppose your firm generated $50.0million$⁢50.0⁢million in sales. What would be the 95%95% prediction interval for your firm's net income? Write your answer using interval notation. Round your answer to 1 decimal place.
 
 
 
Analysis of Variance
Copy Data
Predicted Values for New Observations
Copy Data
Values of Predictors for New Observations
Source
Regression
Residual Error
Total
DF
SS
MS
F
P
1 4591849 4591849 31.86 0.000
21
3026657 144127
22 7618506
New Obs
Fit
1 1084.9
SE Fit
157.1
95 % CI
(758.3, 1411.5)
New Obs Sales
1
50.0
95% PI
(230.5, 1939.3)
if
If
Transcribed Image Text:Analysis of Variance Copy Data Predicted Values for New Observations Copy Data Values of Predictors for New Observations Source Regression Residual Error Total DF SS MS F P 1 4591849 4591849 31.86 0.000 21 3026657 144127 22 7618506 New Obs Fit 1 1084.9 SE Fit 157.1 95 % CI (758.3, 1411.5) New Obs Sales 1 50.0 95% PI (230.5, 1939.3) if If
An independent auditor is interested in studying the relationship between net income and net sales for large corporations. A random sample of 23 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.
Net Income = Po + B1(Net Sales
(Net + Ei
Regression Analysis: Income vs. Sales
The regression equation is
Income 82.2 + 20.1 Sales
Copy Data
S = 379.640 R-Sq = 60.3 %
R-Sq(Adj) = 58.4%
Predictor
Constant
Sales
Coef SE Coef
82.2
20.054
T
94.9 0.87 0.396
3.759 5.33 0.000
df
If
Transcribed Image Text:An independent auditor is interested in studying the relationship between net income and net sales for large corporations. A random sample of 23 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. Net Income = Po + B1(Net Sales (Net + Ei Regression Analysis: Income vs. Sales The regression equation is Income 82.2 + 20.1 Sales Copy Data S = 379.640 R-Sq = 60.3 % R-Sq(Adj) = 58.4% Predictor Constant Sales Coef SE Coef 82.2 20.054 T 94.9 0.87 0.396 3.759 5.33 0.000 df If
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