Step 2: Solve for thee following: Ex = ΣΥ= X =. Y = Σχ ΣΥ ΣΧΥ Slope (b,): Intercept (bo): Simple Linear Regression Equation(Y = bịX + bo): %3D Standard Error of Estimate(Sg): , Coefficient of Determination(r³): . Confidence Interval: Prediction Interval:

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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REGRESSION:
Determine the regression equation. Solve for the sum of squares for error, standard
error, coefficient of determination. Find the 90% confidence interval for all year for
the 12th year. Determine a 95% prediction interval for the 12th year.

Step 1: Complete the table.
X
Y
Y2
XY
1
12
2
15
17
4
18
17
6
19
7
22
20
9
23
10 26
Step 2: Solve for thee following:
ΣΧ
ΣΥΞ
X =.
Y
Ex? =,
ΣΥ
ΣΧΥ
Slope (b,):.
Intercept (bo):
Simple Linear Regression Equation(Y = bịX + bo):
Standard Error of Estimate(sg):
Coefficient of Determination(r²):
Confidence Interval:
Prediction Interval:
Transcribed Image Text:Step 1: Complete the table. X Y Y2 XY 1 12 2 15 17 4 18 17 6 19 7 22 20 9 23 10 26 Step 2: Solve for thee following: ΣΧ ΣΥΞ X =. Y Ex? =, ΣΥ ΣΧΥ Slope (b,):. Intercept (bo): Simple Linear Regression Equation(Y = bịX + bo): Standard Error of Estimate(sg): Coefficient of Determination(r²): Confidence Interval: Prediction Interval:
4. Sales, in million pesos, of a certain company are shown here.
Year (X)
Sales (Y)
5
6
P12 P15 P17 P18 P16P19 P21 P20 P22 P24
1
4
8
9.
10
Transcribed Image Text:4. Sales, in million pesos, of a certain company are shown here. Year (X) Sales (Y) 5 6 P12 P15 P17 P18 P16P19 P21 P20 P22 P24 1 4 8 9. 10
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