Question

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 the intercept and the slope? What are the coefficient of determination and the correlation coefficient?

c.) What is the predicted number of children for someon with three siblings?

d.) What is the predicted number of children for someone without any siblings?

Answer #1

y = dependent variable (a regression model has exactly one dep. variable)x= independent variable (a regression model has 1 or more ind. variables)a = constant = “y-intercept”b = (unstandardized) coefficient = slope What is the y intercept[1]? the slope? [2]What are the coefficient of determination [3]and the correlation coefficient? [4]What is the predicted number of children for someone with three siblings? (Hint use Regression Equation y = a + bx). [5]What is the predicted number of children for someone without any siblings?[6]Specified Answer for: 11.396 Specified Answer .138

for: 2Specified Answer for: 3.050Specified Answer for: 4.223Specified Answer for: 52 Specified Answer for: 61 2

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.

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...

Eight people participated in a study examining the relationship
between number of fast food stops and weight gain. The correlation
coefficient was found to be .96, and the regression equation is
2.83 + 1.2x.
(A) With reference to the correlation coefficient, what can you
conclude about the relationship between the number of fast food
stops amount of weight gained?
(B) What is the slope of the line? Interpret the slope in
words.
(C) The amount of weight gained can vary...

A data set is provided, entitled oldfaithful_asst, on the
duration and height of the Old
Faithful geyser in the Yellowstone National Park.
a.
Construct a scatterplot using Excel or any software (SPSS or
Minitab)
between the variables “duration” and “height.” Please title the
graph
“Scatterplot 1 Old Faithful” and create labels for both
axes.
b.
There seems to be a an outlier in the data set. Although an
outlier is not a
detriment to the data analysis, as part of...

10. In Exercise 6, we examined the relationship between years of
education and hours of television watched per day. We saw that as
education increases, hours of television viewing decreases. The
number of children a family has could also affect how much
television is viewed per day. Having children may lead to more
shared and supervised viewing and thus increases the number of
viewing hours. The following SPSS output displays the relationship
between television viewing (measured in hours per day)...

Suppose that a researcher collected the following set of data
on years of education (X) and number of children for a sample of
married adults:
X
Y
12
2
14
1
17
0
10
3
8
5
9
3
12
4
14
2
18
0
16
2
Draw a scatter plot of the data.
Write out the regression equation, then calculate and
interpret the meaning of the...

A researcher collected the following data on years of education
(X) and number of children (Y) for a sample of married adults:
X
Y
12
2
14
1
17
0
10
3
8
5
9
3
12
4
14
2
18
0
16
2
a. Draw a scatterplot of the data.
b. Calculate the correlation between education and number of
children for this sample of 10 married adults.
c. Interpret the correlation between education and number of
children.
d. Is...

Exercise 1:
In a survey, a statistician analyzed the relationship between
the Mothers-Heights (explanatory vari- able x) and the
Daughters-Heights (response y) by using the regression method. When
he drew the regression line, he found that at x1 = 0 the predicted
response is yˆ1 = 29.9, and at x2 = 1 the predicted response is yˆ2
= 30.43. Answer the following questions providing all the
details.
Find the intercept a and slope b of the regression line of
Daughters-Heights...

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...

1. Of interest is to study the relationship between the number
of seeds or pellets that Parsnip eats and the amount of time that
it takes Parsnip to eat his food. A simple random sample of 37 days
is selected and each day the number of seeds or pellets eaten and
the amount of time that it takes Parsnip to eat his food is
determined. Which of the following is a graphical method that would
allow one to describe the...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 11 minutes ago

asked 22 minutes ago

asked 22 minutes ago

asked 57 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago