Question

In regression analysis, a higher correlation between the dependent variable and the independent variable indicates a higher estimated slope.

Answer #1

We know that a correlation measures the linear relationship between two variables.

Which of the following statements concerning regression and
correlation analysis is/are true?
A. If the correlation coefficient is zero, then there is no linear
relationship between the two variables.
B. A negative value for the correlation coefficient indicates that
high values of the independent variable are correlated with low
values of the dependent variable.
C. The slope coefficient for a simple linear regression model
measures the expected change in the independent variable for a unit
change in the dependent variable....

Regression ____ (b values) indicate how much influence each
independent variable has on the dependent variable.
Regression analysis serves two main purposes: to define the
relationship between variables and to ____ values of the dependent
variable using what we know about the existing correlation between
the variables.
The coefficient of multiple determination, R^2, is interpreted
as the percentage of ____ in the dependent variable that is
explained by the independent variable.

regression or correlation analysis if determining the relationship
between the time it took to hold a breath and the change in
breathing rate as a result of breath holding after a maximal
inhale?
What would be the independent variable if regression?
Dependent variable?

A regression and correlation analysis resulted in the following
information regarding a dependent variable (y) and an
independent variable (x).
Σx = 90
Σ(y - )(x - ) = 466
Σy = 170
Σ(x - )2 = 234
n = 10
Σ(y - )2 = 1434
SSE = 505.98
The least squares estimate of the intercept or
b0 equals
Question 18 options:
a)
-1.991.
b)
.923.
c)
-.923.
d)
1.991.

Part C: Regression and Correlation Analysis
Use the dependent variable (labeled Y) and the independent
variables (labeled X1, X2, and X3) in the data file. Use Excel to
perform the regression and correlation analysis to answer the
following.
Generate a scatterplot for the specified dependent variable (Y)
and the X1 independent variable, including the graph of the "best
fit" line. Interpret.
Determine the equation of the "best fit" line, which describes
the relationship between the dependent variable and the selected...

The slope coefficient (b) measures the ______________ of the
linear relationship between the independent and dependent variable
while the correlation coefficient indicates the _______________ of
the relationship.
a. strength; direction
b. form; strength
c. direction; form
d. strength; form

You have estimated the correlation between exposure to
noise (independent variable) and hearing loss (dependent variable)
among factory workers. Both exposure and outcome measures were
collected as continuous variables. The statistical analysis showed
a Pearson r of 0.4 and the correlation between the
two variables was highly significant at p < 0.001.
Question: Can one argue that the
relationship between the investigated exposure and outcome is
causal? why and How likely is the possibility that the results were
a mere chance finding? Why?...

The following output was obtained from a regression analysis of
the dependent variable Rating and an independent variable Price.
(10 points)
ANOVA
df
SS
MS
F
Regression
1
372.707
372.707
42.927
Residual
15
130.234
8.682
Total
16
502.941
Coefficients
Standard Error
t Stat
P-value
Intercept
45.623
3.630
12.569
0.000
Price
0.107
0.016
6.552
0.000
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 of...

Develop a regression model of dependent variable Y over an
independent variable X. It is given the estimate of intercept is 11
and estimate of slope is 1.25. What is the value of Y when X=4

If the coefficient of correlation is 0.90, the percentage of the
variation in the dependent variable y that is explained by the
variation in the independent variable x is:
A. 81%
B. 0.81%
C. 90%
D. 0.90%
If the coefficient of determination is 0.975, then the slope of
the regression line:
A. could be either positive or negative
B. must be negative
C. must be positive
D. none of the above answers is correct

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