Using the
Minitab output below, what is the coefficient of determination?
a.0.507
b.0.021
c.0.243
d.0.493
Q. 2 What is the interpretation of
in the following equation, Value = -118 + 5.99 Pasture - 56 Woods?
a.
is the expected change in Value for a 1-unit increase in Pasture and a 1-unit increase in Woods.
b.
is the point where the line crosses the
y-axis.
c.
is the expected change in Total Value for a 1-unit increase in Pasture while Woods is held constant.
d.
is the expected change in Pasture for a 1-unit increase in Woods.
Q. 3 What distribution does the test statistic have for testing whether or not the reduced model is correct using H
0:
versus H
a: at least one among
is not 0?
a.chi-squared distribution
b.
t distribution with
df =
n - 2
c.
t distribution with
df =
n - (
k + 1)
d.
F distribution with
dfnumerator =
k -
l,
dfdenominator =
n - (
k + 1)
Q. 4 Using the
Minitab output below, what is a 90 confidence interval for
in the multiple regression model shown when
n = 81?
a.(2370, 9618)
b.(3178, 8810)
c.(4.40, 6.18)
d.(-63,878, -35,506)
Q. 5 Which of the following is
not an assumption for the general additive multiple regression model,
?
a.
are known statistics
b.
is the random error that is normally distributed with a mean of 0 and a variance
.
c.
x1,
x2, ...,
xk are independent predictor variables.
d.
Y is the response variable that we want to predict.
Q. 6
Which of the following is the standard error of the estimate in a multiple regression?
a.SSR
b.MSE
c.SSE
d.MSR
Q. 7 From the following
Minitab regression analysis, which of the following conclusions is correct?
a.The
x variable appears to have no value in the regression model for predicting
y when using
.
b.The
x variable is necessary in the regression model for predicting
y when using
.
c.The coefficient of determination is very high indicating that the model is adequate.
d.The
y-intercept appears to equal zero.
Q. 8
Which of the following would be a 95 prediction interval if a 95 confidence interval for the same data point is (21.65, 28.86)?
a.(20.8, 27.6)
b.(21.65, 28.86)
c.(21.39, 29.11)
d.(19.6, 26.8)
Q. 9 Using the
Minitab output below of the regression analysis of variance table, what is the coefficient of determination for this analysis?
a.0.754
b.0.877
c.0.123
d.0.769
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