Question

Question 1- Choose the best option

**I-When calculating an F ratio for an ANOVA test, what is
the general pattern?**

a. There is no relationship between F ratio and p-value

b. F ratio equal the p-value

c. F ratio is always greater than the p-value

d. In general, the smaller the F ratio the smaller the p-value.

e. In general, the larger the F ratio the smaller the p-value.

**II-Which of the following tools is not appropriate for
studying the relationship between two numerical
variables?**

a. Correlation coefficient

b. None of the above.

c. Regression

d. Scatter plot

e. Histogram

**III-Which of the following cannot be answered from a
linear regression equation?**

a. Predict the value of Y at a particular value of X

b. Estimate the slope coefficient between X and Y

c. Estimate whether the linear relationship between X and Y is positive or negative

d. Estimate whether the relationship between X and Y is linear or non-linear.

e. None of the above.

**IV-Which of the following cannot be used to assess the
goodness of fit of a regression model?**

a. R-squared

b. Residual plots

c. F-test (ANOVA)

d. Chi-square test

e. Standard error of estimate

Answer #1

**I-When calculating an F ratio for an ANOVA test, what is
the general pattern?**

in general, the larger the F ratio the smaller the p-value.

**II-Which of the following tools is not appropriate for
studying the relationship between two numerical
variables?**

**Histogram**

**III-Which of the following cannot be answered from a
linear regression equation?**

Estimate whether the relationship between X and Y is linear or non-linear.

**IV-Which of the following cannot be used to assess the
goodness of fit of a regression model?**

Chi-square test

MULTIPLE CHOICE. Choose the one alternative that best completes
the statement or answers the question.
6) Consider the following dataset:
ID
V
W
X
Y
Z
1
10
2
8
Group 1
A
2
2
8
3
Group 1
A
3
2
8
5
Group 2
A
4
2
10
2
Group 2
A
5
5
2
5
Group 2
A
6
5
5
3
Group 1
B
7
10
7
1
Group 2
B
8
2
9
10
Group...

Please answer the question briefly and
clearly.
1. The best model to describe a linear relationship between two
variables is the _______.
2. An assumption of linear regression states that for each value
of X, there is a group of Y values that are
statistically (Independent) and (normally
distributed) about the regression line.
3. If the slope of a regression line is zero, the orientation of
the regression line is (Flat, or Constant), which
indicates a lack of a relationship....

3.
The accountant
at Walmart wants to determine the relationship between customer
purchases at the store, Y ($), and the customer monthly salary, X
($). A sample of 15 customers is randomly selected and the results
are summarized in the ANOVA table below:
df
SS
Regression
1
186952
Residual
13
99236
Total
14
286188
Coefficients
Standard
Error
t
Stat
p-value
Intercept
78.58
7.540
1.202
0.035
Salary
0.066
0.013
4.948
0.003
a.
What is the
estimated regression equation that relates the...

A business analyst with AF Ferguson's research and advisory
services performed a regression analysis on the relationship
between the number of technology firms that failed and the number
of technical people unemployed in Bangalore for the year 2019. Her
results yielded the regression equation that=12.7+ .000114X.
Predictor
Coefficient
SE Coefficient
T
P-Value
Constant
12.726
8.115
1.57
.134
X1
.00011386
.00002896
3.93
.001
ANOVA
Source
df
SS
MS
F
P-Value
Regression
1
.001
Residual Error
12054
Total
19
22408
a) Fill...

You may need to use the appropriate technology to answer this
question. Consider the data. xi 3 12 6 20 14 yi 55 40 55 10 15 (a)
Compute the mean square error using equation s2 = MSE = SSE n − 2
. (Round your answer to two decimal places.) (b) Compute the
standard error of the estimate using equation s = MSE = SSE n − 2
. (Round your answer to three decimal places.) (c) Compute the...

You may need to use the appropriate technology to answer this
question.
Consider the data.
xi
1
2
3
4
5
yi
2
8
6
10
13
(a)
Compute the mean square error using equation
s2 = MSE =
SSE
n −
2
. (Round your answer to two decimal places.)
(b)
Compute the standard error of the estimate using equation
s =
MSE
=
SSE
n −
2
. (Round your answer to three decimal places.)
(c)
Compute the...

This is like my 3rd time re asking this question because later I
figured out 2 typos which is the P-value is 0.0000 and i can't get
it to space where you see it off from the left of the anova table,
and I missed putting a minus sign on part f. So thats why you keep
seeing a duplicate questions from me.
1. A scientist study the relation of x=salinity level and
y=nitrate level. He fitted a simple linear...

(1) A Chi-squared test is typically used to test for any of the
following except which of the following?
(A) If a mathematical model accurately predicts our observed
frequencies of data values.
(B) If a mathematical model accurately predicts the total number
of observed data values.
(C) If a mathematical model accurately predicts the pattern of
our observed data values.
(D) Whether two factors present in a population are independent
of one another.
(E) Whether a series of populations experience...

Consider the data.
xi
1
2
3
4
5
yi
2
8
6
11
13
(a)
Compute the mean square error using
equation s2 = MSE =
SSE
n −
2
. (Round your answer to two decimal places.)
(b)
Compute the standard error of the estimate using equation
s =
MSE
=
SSE
n −
2
. (Round your answer to three decimal places.)
(c)
Compute the estimated standard deviation of
b1
using equation
sb1 =
s
Σ(xi −
x)2...

1. The following output was obtained from a regression
analysis of the dependent variable Rating and an independent
variable
Price.
Anova
df SS MS f
Regression 1 301.701 301.701 32.94
Residual 15 128.221 9.1586
Total 16 429.922
Coefficients Standard Error T Stat P value
Intercept 45.623 3.630 12.569 0.000
Price .107 0.016 6.552 0.002
a. Use the critical value approach to perform an F test for the
significance of the linear relationship between Rating and Price at
the 0.05 level...

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