Please help me answer the answer a- give the answer and give the practical meaning of the value b- answer and interpret this value c- answer and interpret this value Thank you independent variables.SUMMARY OUTPUTRegression StatisticsMultiple R0.857R Square0.734Adjusted R Square0.703Standard Error5.366Observations20ANOVASignificance F23.46dfSSMSRegression21350.76 675.380.00Residual17489.44 28.79Total191840.20Lower 95%Upper 95%73.61Coefficients Standard Error t Stat P-valueIntercept67.672.82 24.030.0061.73hours5.560.906.180.003.667.45prep_exams-0.600.91-0.660.52-2.531.33a. What is the value of r?? What is the practical meaning of this value?b. What is the coefficient of Hours? Interpret this valueD QUARTER, SY2021-2022GED 102-1C. What is the coefficient of Prep Exam? Interpret this value.

We want to tell you regression coefficients and interpretation

Answered: independent variables. SUMMARY OUTPUT…

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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Please help me answer the answer a- give the answer and give the practical meaning of the value b- answer and interpret this value c- answer and interpret this value Thank you

independent variables.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.857
R Square
0.734
Adjusted R Square
0.703
Standard Error
5.366
Observations
20
ANOVA
Significance F
23.46
df
SS
MS
Regression
2
1350.76 675.38
0.00
Residual
17
489.44 28.79
Total
19
1840.20
Lower 95%
Upper 95%
73.61
Coefficients Standard Error t Stat P-value
Intercept
67.67
2.82 24.03
0.00
61.73
hours
5.56
0.90
6.18
0.00
3.66
7.45
prep_exams
-0.60
0.91
-0.66
0.52
-2.53
1.33
a. What is the value of r?? What is the practical meaning of this value?
b. What is the coefficient of Hours? Interpret this value
D QUARTER, SY2021-2022
GED 102-1
C. What is the coefficient of Prep Exam? Interpret this value.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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