Question
In: Statistics and Probability
Below is a partial regression output, choose the correct choice t value Pr(>|t|) (Intercept) 6.808 3.88e-11...
Below is a partial regression output, choose the correct choice
t value Pr(>|t|)
(Intercept) 6.808 3.88e-11 ***
crim -2.885 0.004135 **
zn 3.405 0.000731 ***
indus 0.519 0.603807
chas 2.869 0.004342 **
nox -4.683 3.94e-06 ***
rm 8.153 5.20e-15 ***
age -0.402 0.688147
dis -6.821 3.57e-11 ***
rad 4.188 3.50e-05 ***
tax -3.017 0.002723 **
ptratio -7.2 2.55e-12 ***
black 2.8 0.005310 **
lstat -8.1 4.07e-15 ***
---
Signif. codes:
0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05
‘.’ 0.1 ‘ ’ 1
Residual standard error: 4.675 on 380 degrees of freedom
Multiple R-squared: 0.7463, Adjusted R-squared: 0.7377
F-statistic: 86 on 13 and 380 DF, p-value: < 2.2e-16
Crim is statistically significant at 95% confidence interval
Indus is not statistically significant
Tax is statistically significant at 95% confidence interval
Age is not statistically significant
Solutions
orchestra answered 2 years agoRelated Solutions
1.-Interpret the following regression model Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -7.819e+05 7.468e+04 -10.470...
1.-Interpret the following regression model
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -7.819e+05 7.468e+04 -10.470 < 2e-16 ***
Lot.Size -5.359e-01 1.163e-01 -4.610 4.67e-06 ***
Square.Feet 1.108e+02 1.109e+01 9.986 < 2e-16 ***
Num.Baths 2.985e+04 9.650e+03 3.094 0.00204 **
API.2011 1.226e+03 9.034e+01 13.568 < 2e-16 ***
dis_coast -7.706e+00 2.550e+00 -3.022 0.00259 **
dis_fwy 1.617e+01 1.232e+01 1.312 0.18995
dis_down 5.364e+00 3.299e+00 1.626 0.10429
I(dis_fwy * dis_down) -4.414e-04 5.143e-04 -0.858 0.39098
Pool 1.044e+05 2.010e+04 5.194 2.59e-07 ***
---
Signif. codes: 0 ‘***’ 0.001...
Below you are given a partial computer output from a multiple regression analysis based on a...
Below you are given a partial computer output from a multiple
regression analysis based on a sample of 16 observations.
Coefficients Standard Error Constant 12.924 4.425 x1 -3.682 2.630
x2 45.216 12.560 Analysis of Variance Source of Variation Degrees
of Freedom Sum of Squares Mean Square F Regression 4853 2426.5
Error 485.3 Carry out the test of significance for the variable
x1 at the 1% level. The null hypothesis should be options: be
tested for β₃ instead. be rejected....
PROBLEM #1: (Multiple Choice) Choose the correct answer. We conduct a regression analysis to test the...
PROBLEM
#1: (Multiple Choice) Choose the correct answer. We
conduct a regression analysis to test the hypotheses β = 1 vs
Ha: β = 1. The value of the test statistic is found to
be 2.24 for sample sizes n=22. The p-value for this test is:
⑴ 0.01 < p-value < 0.025
⑵ 0.02 < p-value < 0.05
⑶ 0.0005 < p-value < 0.001
⑷ 0.001 < p-value < 0.005
⑸ None of the above
1.) Multiple Choice: Choose the correct letter choice. What is the correct sequence of instructions for...
1.) Multiple Choice: Choose the correct letter
choice. What is the correct sequence of instructions for
carrying out the calculation (A * B) - (A * C) on Stack
Architecture.
Assume that:
A, B, C and D are memory locations
R1, R2, R3 are registers.
MUL
multiplies 2 operands and stores the result in the first
operand in a 2 operand case
multiplies the second and third operands and stores the result
in the first in a 3 operand case...
Shown below is a partial Excel output from a regression analysis. ANOVA df SS MS F...
Shown below is a partial Excel output from a regression
analysis.
ANOVA
df
SS
MS
F
Regression
60
Residual
Total
19
140
Coefficients
Standard Error
Intercept
10.00
2.00
x1
-2.00
1.50
x2
6.00
2.00
x3
-4.00
1.00
a.
Use the above results and write the regression equation. [4
Marks]
b.
Compute the coefficient of determination and fully interpret its
meaning. [4 Marks]
c.
Is the regression model significant? Perform the test at let α =
0.05. [4 Marks]
d.
At...
Shown below is a partial Excel output from a regression analysis. ANOVA df SS MS F...
Shown below is a partial Excel output from a regression
analysis.
ANOVA
df
SS
MS
F
Regression
60
Residual
Total
19
140
Coefficients
Standard Error
Intercept
10.00
2.00
x1
-2.00
1.50
x2
6.00
2.00
x3
-4.00
1.00
a.
Use the above results and write the regression equation. [4
Marks]
b.
Compute the coefficient of determination and fully interpret its
meaning. [4 Marks]
c.
Is the regression model significant? Perform the test at let α =
0.05. [4 Marks]
d.
At...
In discussing book value of common stock, which statement below is not correct? Multiple Choice The...
In discussing book value of common stock, which statement below
is not correct?
Multiple Choice
The terms "issued" and "outstanding" are synonymous when
discussing the number of common shares.
Book value is also referred to as total equity of the firm.
If any preferred stock were outstanding, its carrying amount
would be deducted from the total equity to obtain the common
equity.
Book value per share is computed by dividing common equity by
the number of common shares outstanding.
Convertible...
The following partial MINITAB regression output for the Fresh detergent data relates to predicting demand for...
The following partial MINITAB regression output for the Fresh
detergent data relates to predicting demand for future sales
periods in which the price difference will be .10
Predicted Values for New Observations
New
Obs
Fit
SE Fit
95% CI
95% PI
1
8.3323
.1570
(8.0107, 8.6539)
(6.7456, 9.9189)
2
8.3601
.142
(8.0689, 8.6512)
(6.7793, 9.9408)
(a) Report a point estimate of and a 95 percent
confidence interval for the mean demand for Fresh in all sales
periods when the price...
The following partial MINITAB regression output for the Fresh detergent data relates to predicting demand for...
The following partial MINITAB regression output for the Fresh
detergent data relates to predicting demand for future sales
periods in which the price difference will be .10
Predicted Values for New Observations
New
Obs
Fit
SE Fit
95% CI
95% PI
1
8.4972
.1734
(8.1421, 8.8523)
(6.9576, 6.9576)
2
8.4425
.134
(8.1690, 8.7160)
(6.9197, 6.9197)
(a) Report a point estimate of and a 95 percent
confidence interval for the mean demand for Fresh in all sales
periods when the price...
The following partial MINITAB regression output for the Fresh detergent data relates to predicting demand for...
The following partial MINITAB regression output for the Fresh
detergent data relates to predicting demand for future sales
periods in which the price difference will be .10 Predicted Values
for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 8.6116
.1505 (8.3032, 8.9200) (7.1346, 10.0887) 2 8.4946 .129 (8.2308,
8.7583) (7.0262, 9.9629) (a) Report a point estimate of and a 95
percent confidence interval for the mean demand for Fresh in all
sales periods when the price...
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