Question

The strength of the relationship between two quantitative variables can be measured by

the *y*-intercept of the simple linear regression
equation.

the slope of a simple linear regression equation.

both the coefficient of correlation and the coefficient of determination.

the coefficient of determination.

the coefficient of correlation.

Answer #1

The equation for a straight line between two variables, xx and
yy, is y=mx+by=mx+b. In this equation, mm is the slope of the line
and bb is the yy-intercept (the point at which the straight line
crosses the yy-axis). When m<0m<0, the line has a negative
slope. When m>0m>0, the line has a positive slope.
The correlation coefficient, rr, can be used to calculate the
values of mm and bb in a linear regression.
First, use the values you have...

18. The relationship between forced expiratory volume (FEV),
which is measured in liters, and age, which is measured in years,
is evaluated in a random sample of 200 men between the ages of 20
and 60. A simple linear regression analysis is performed to predict
FEV from age. The Intercept (constant) = 8.0 and the Regression
coefficient (slope) for Age = 0.29.
a. Interpret the regression coefficient for age in words.
[PLEASE PROVIDE RATIONALE]
b. Interpret the intercept (constant) in...

Correlation and regression are concerned with:
a. the relationship between two
qualitative variables
b. the relationship between two
quantitative variables
c. the relationship between a
qualitative and quantitative variable
d. none of the above
e. all of the above

Using the GSS14SSDS-A data set
1. Explore the relationship between the number of siblings a
respondent has (SIBS) and his or her number of children
(CHILDS).
a.) Construct a scatterplot of these two variables in SPSS, and
place the best-fit linear regression line on the scatterplot.
Describe the relationship between the number of siblings a
respondent has (IV) and the number of his or her children (DV).
b.) Have SPSS calculate the regression equation predicting
CHILDS and SIBS. What are...

Correlation is a visual method for determining the relationship
between two variables... including linear, curve linear, strong,
weak, positive, negative, and no relationships. The correlation
coefficient is a mathematical reflection of that relationship.
Regression analysis is the same thing as the correlation
coefficient. True or False

Which statement explains why correlation could be 0 even if a
strong relationship between two variables existed?
Group of answer choices
Since the correlation is 0, there is no strong relationship
between the two variables; and a scatterplot would be
misleading.
Correlation can be 0 even if there is a strong linear
relationship between the variables.
Correlation only measures the strength of the relationship
between two variables when the units of the two variables are the
same.
Correlation does not...

The difference between the actual value and the predicted
value is known as
(2)
coefficient of determination
residual
SSR
SSE
SST
non of them
4. The ................................... can be used when a
level of data measurement is either nominal or ordinal andthe
values are determined by counting the number of occurrences in each
category.
coefficient of determination
correlation coefficient
chi-square goodness-of-fit test
least square regression
contingency analysis
5. To analyzing the relationship between two variables
graphically, we canmeasure the strength...

How are the slope and intercept of a simple linear regression
line calculated? What do they tell us about the relationship
between the two variables?
Please provide an example.

A random sample of 15 weeks of sales (measured in $) and 15
weeks of advertising expenses (measured in $) was taken and the
sample correlation coefficient was found to be r = 0.80. Based on
this sample correlation coefficient we could state
That the percentage of the variation in sales that is shared
with the variation in advertising is about 80%.
That the percentage of the variation in sales that is shared
with the variation in advertising is about...

How is a linear relationship between two variables measured in
statistics? Explain.

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