Question
In: Finance
Based on the below data what will be the value of multiple R?
Based on the below data what will be the value of multiple R?
| Regression Statistics | ||||
| Multiple R | ||||
| R Square | ||||
| Adjusted R Square | ||||
| Standard Error | ||||
| Observations | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 32 | 32 | 8 |
| Residual | 6 | 28 | 4 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | 11 | 31.274666 | 3.984284 | 0.007248 |
| Advertising (thousands of $) | 19 | 6.19330674 | 1.610802 | 0.158349 |
Solutions
Expert Solution
R square = sum of squares of regression / (sum of square of regression + sum of square of residuals)
R square = 32/(32+28) = 0.5333
multiple R = SQRT (R square) = SQRT(0.5333) = 0.7303
Answer : 0.7303
jeff jeffy answered 3 years agoRelated Solutions
Based on the below data what will be the value of standard error? Regression Statistics Multiple...
Based on the below data what will be the value of standard
error?
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
8
ANOVA
df
SS
MS
F
Regression
1
33
33.0
16.5
Residual
6
12
2.0
Total
7
Coefficients
Standard Error
t Stat
P-value
Intercept
9
31.274666
3.984284
0.007248
Advertising (thousands of $)
24
6.19330674
1.610802
0.158349
Submit
Answer format: Number: Round to: 2 decimal
places.
The R output below gives the summary of the multiple regression model for birth weight based...
The R output below gives the summary of the multiple regression
model for birth weight based on both gestation length and smoking
status:
lm(formula = Weight ~ Weeks + SmokingStatus, data = births)
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1724.42 558.84 -3.086 0.00265 **
Weeks 130.05 14.52 8.957 2.39e-14 ***
SmokingStatusSmoker -294.40 135.78 -2.168 0.03260 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’
1
Residual standard error: 484.6 on 97 degrees...
What is a fitted value for a multiple regression model and the data that is used...
What is a fitted value for a multiple regression model and the
data that is used to create it? Select one.
-It is the difference between the actual value of the response
variable and the corresponding predicted value (regression error)
using the multiple regression model.
-It is a statistic that explains the relationship between
response and predictor variables.
-It is a statistic that is used to evaluate the significance of
the multiple regression model.
-It is the predicted value of...
Based on the data below, what is the AFN for Pear Computer at the end of...
Based on the data below, what is the AFN for Pear Computer at
the end of next year?
Sales growth rate
12%
S0
$7,500
A0*
$3,550
current operating assets
A0*/
S0
47.330%
required assets per $ in sales
L0*
500
current spontaneous liabilities
L0*/
S0
6.670%
spontaneous liabilities per $ in sales
Current Profit margin (M)
4.400%
Most recent Payout ratio
22.730%
For the data set below, calculate r, r 2, and a 95% confidence interval in r...
For the data set below, calculate r, r
2, and a 95% confidence interval in r units.
Then write a one- to two-sentence conclusion statement that
includes whether the null hypothesis was rejected or not. Assume a
two-tailed hypothesis and α = .05.
Case 1
Case 2
Case 3
Case 4
Case 5
Case 6
X
1.05
1.15
1.30
2.00
1.75
1.00
Y
2
2
3
4
5
2
Give an example foe each of the following 1) R (Multiple R) 2) R^2 (Multiple R^2)...
Give an example foe each of the following
1) R (Multiple R)
2) R^2 (Multiple R^2)
3) Zero-order correlation
4) partial correlation
5) shared variance
6) The Directionality Problem
7) The Third Variable Problem
8) Moderator variable
9) Mediator variable
Based on the data shown below, calculate the regression line (each value to two decimal places)...
Based on the data shown below, calculate the regression line
(each value to two decimal places)
y = x +
x
y
1
9.94
2
10.38
3
9.92
4
14.46
5
14.6
6
12.24
7
14.58
Based on the data shown below, calculate the regression line (each value to two decimal places)...
Based on the data shown below, calculate the regression line
(each value to two decimal places)
y = _____ x + _______
x
y
4
33.1
5
32.2
6
29.4
7
26.7
8
25.2
9
24.8
10
22.2
11
19.4
12
17.8
13
16.4
14
13.1
15
11.3
Based on the data shown below, calculate the regression line (each value to two decimal places)...
Based on the data shown below, calculate the regression line
(each value to two decimal places)
y = _____ x + _______
x
y
4
33.1
5
32.2
6
29.4
7
26.7
8
25.2
9
24.8
10
22.2
11
19.4
12
17.8
13
16.4
14
13.1
15
11.3
Based on the data shown below, calculate the regression line (each value to two decimal places)...
Based on the data shown below, calculate the regression line
(each value to two decimal places)
y =_____ x + ____
x
y
4
33.1
5
32.2
6
29.4
7
26.7
8
25.2
9
24.8
10
22.2
11
19.4
12
17.8
13
16.4
14
13.1
15
11.3
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- Question 2 : Aggregate Scores: Write a program that opens 2 files, quiz.txt, and hw.txt. The...
- Define the term symbiosis specifically as it applies in a biological context. Compare and contrast parasitism,...
- A research team conducted a study showing that approximately 20% of all businessmen who wear ties...
- Research the internet for companies that have executed data science projects. Pick one company and describe...
- Explain two theories or frameworks for understanding how Western Europe emerged out of 1,000 years of...
- Two cannons are mounted as shown in the drawing and rigged to fire simultaneously. They are...
- What is the potential of a cell made up of Zn|Zn2+ and Cu|Cu2+ half-cells at 25o...
ADVERTISEMENT