A. What is the b (slope) for education? (-0.220 / 0.066 / -0.255 / 0.043)
B. Is there a positive or negative relationship between education and television viewing hours? (Negative / Positive)
C. What is the b (slope) for number of children? (-0.220 / 0.066 / -0.255 / 0.043)
D. Is there a positive or negative relationship between number of children and television viewing hours? (Negative / Positive)
E. What is the equation for multiple regression?
-a=mean of y-slope(mean of x)
-b= covariance of x and y/variance of x
-Predicted Y variable=y intercept+slope(X variable)
-Predicted Y variable=y intercept+slope_1 (X variable_1)+slope_2 (X variable_2)+.....slope_n (X variable_n)
F. Using the multiple regression equation with both education and number of children as independent variables, calculate the number of hours of television viewing for a person with 16 years of education and two children (2.434 / 2.205)
G. Compare the R square value from question 3 (exercise 5 in text) with the R square value from this regression. Does the number of children jointly reduce the amount of error involved in predicting hours of television viewed per day? Yes or No? (Yes / No)
Homework Answers
Add Answer to:
A. What is the b (slope) for education? (-0.220 / 0.066 / -0.255
/ 0.043)
B. Is...
please help 0, In E xercise 6 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 televisio...
please help
0, In E xercise 6 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 num- ber of viewing hours.The following SPSS output displays the relationship between television viewing (measured in hours per day) and both education (measured in years) and number of...
Country Austria 27.8 22.3 44.8 6.8 1.6 10.7 7.4 22.8 35.5 27.2 30.1 50.1 29.0 50.3 35.9 33.8 Neth...
#1
#2
#4 only dont do #5
12 & 13
Country Austria 27.8 22.3 44.8 6.8 1.6 10.7 7.4 22.8 35.5 27.2 30.1 50.1 29.0 50.3 35.9 33.8 Netherlands Russia United States Source International Social Survey Programme, 2000. Regression and Correlation 467 For a variety of reasons, a larger percentage of people are concerned today about the state of the envi- ronment than in years past. This has led to the formation of environmental action groups that attempt to alter...
A researcher wants to determine if the number of years of education that a person's father...
A researcher wants to determine if the number of years of education that a person's father has ("paeduc") is related to the number of years of education that the person has ("educ"). He uses simple linear regression to examine this question. The output from Excel is shown below. Regression Statistics Multiple R 0.527393938 R Square 0.278144366 Adjusted R Square 0.264776669 Standard Error 2.436826202 Observations 56 ANOVA df F Significance F 2.96139E-05 20.8072 Regression Residual Total SS MS 123.555701 123.5557 320.6585847...
A group of researchers at a media consulting firm are interested in understanding the factors that...
A group of researchers at a media consulting firm are interested
in understanding the factors that shape TV viewing behavior. The
researchers collect data from a random sample of 699 adult
respondents over age 40 in the United States. The research
consultants hypothesize that individuals' income levels influence
how much television they watch per day. The dataset includes a
variable capturing each person's annual income in thousands of
dollars (i.e. one unit = $1000). Their dataset also includes a
measure...
Investigate the relationship between the respondent’s education (EDUC) and the education received...
Investigate the relationship
between the respondent’s education (EDUC) and the education
received by his or her father and mother (PAEDUC and MAEDUC,
respectively). Calculate the correlation coefficient, the
coefficient of determination, and the regression equation
predicting the respondent’s education with father’s education only.
Interpret your results. Determine the multiple correlation
coefficient, the multiple coefficient of determination, and the
regression equation predicting the respondent’s education with
father’s and mother’s education. Interpret your results. Did taking
into account the respondent’s mother’s education...
2. A statistician wanted to determine if the demographic variables of age, education, and income influence...
2. A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: y = B. + B,x; + B x2 + Box: +8, where y is the number of hours of television watched last week, *, is the age (in years), *z is the number of years of education, and income (in $1,000)....
SCENARIO 13-9 It is believed that, the average numbers of hours spent studying per day (HOURS)...
SCENARIO 13-9 It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (7) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown. Regression Statistics Multiple R 0.8857 0.7845 Adjusted R Square...
A regression was run to determine if there is a relationship between hours of TV watched...
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and the number of sit-ups a person can do (y). The results were: y = a+bx b = -0.79 a = 23.59 r2 = 0.6551 If a person watches 16 hours of television a day, predict how many sit-ups he can do. 10.95 Correct What is the value of the correlation coefficient? Round to three decimal places. .809 - I need...
Hey! I'm stuck with question b. Apparently there's an error. Thanks. 495 596 579 535 416...
Hey! I'm stuck with question b. Apparently
there's an error.
Thanks.
495 596 579 535 416 529 624 464 403 560 370 591 564 536 513 447 626 578 422 569 510 531 417 749 659 569 492 550 581 610 The average time spent in 2007 by households in a certain country tuned into television was 8 hours and 12 minutes per day. To determine if television viewing changed in 2008, a sample (in minutes) similar to the accompanying...
GPA Hours 3.24 19 3.1 21 3.24 18 2.61 30 3.03 23 3.37 10 1.6 36...
GPA
Hours
3.24
19
3.1
21
3.24
18
2.61
30
3.03
23
3.37
10
1.6
36
3.2
10
2.96
13
2.18
31
2.86
33
2.95
4
2.72
25
3.05
21
3.45
8
2.49
27
3.62
11
2.33
29
2.36
30
3.28
10
3.35
15
2.64
18
2.88
24
2.02
29
2.6
22
3.18
21
3.31
4
Exercise 7-25 Algo Numerous studies have shown that watching too much television hurts school grades. Others have argued that television is not necessarily a...
please help
0, In E xercise 6 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 num- ber of viewing hours.The following SPSS output displays the relationship between television viewing (measured in hours per day) and both education (measured in years) and number of...
#1
#2
#4 only dont do #5
12 & 13
Country Austria 27.8 22.3 44.8 6.8 1.6 10.7 7.4 22.8 35.5 27.2 30.1 50.1 29.0 50.3 35.9 33.8 Netherlands Russia United States Source International Social Survey Programme, 2000. Regression and Correlation 467 For a variety of reasons, a larger percentage of people are concerned today about the state of the envi- ronment than in years past. This has led to the formation of environmental action groups that attempt to alter...
A researcher wants to determine if the number of years of education that a person's father has ("paeduc") is related to the number of years of education that the person has ("educ"). He uses simple linear regression to examine this question. The output from Excel is shown below. Regression Statistics Multiple R 0.527393938 R Square 0.278144366 Adjusted R Square 0.264776669 Standard Error 2.436826202 Observations 56 ANOVA df F Significance F 2.96139E-05 20.8072 Regression Residual Total SS MS 123.555701 123.5557 320.6585847...
A group of researchers at a media consulting firm are interested
in understanding the factors that shape TV viewing behavior. The
researchers collect data from a random sample of 699 adult
respondents over age 40 in the United States. The research
consultants hypothesize that individuals' income levels influence
how much television they watch per day. The dataset includes a
variable capturing each person's annual income in thousands of
dollars (i.e. one unit = $1000). Their dataset also includes a
measure...
Investigate the relationship
between the respondent’s education (EDUC) and the education
received by his or her father and mother (PAEDUC and MAEDUC,
respectively). Calculate the correlation coefficient, the
coefficient of determination, and the regression equation
predicting the respondent’s education with father’s education only.
Interpret your results. Determine the multiple correlation
coefficient, the multiple coefficient of determination, and the
regression equation predicting the respondent’s education with
father’s and mother’s education. Interpret your results. Did taking
into account the respondent’s mother’s education...
2. A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: y = B. + B,x; + B x2 + Box: +8, where y is the number of hours of television watched last week, *, is the age (in years), *z is the number of years of education, and income (in $1,000)....
SCENARIO 13-9 It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (7) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown. Regression Statistics Multiple R 0.8857 0.7845 Adjusted R Square...
Hey! I'm stuck with question b. Apparently
there's an error.
Thanks.
495 596 579 535 416 529 624 464 403 560 370 591 564 536 513 447 626 578 422 569 510 531 417 749 659 569 492 550 581 610 The average time spent in 2007 by households in a certain country tuned into television was 8 hours and 12 minutes per day. To determine if television viewing changed in 2008, a sample (in minutes) similar to the accompanying...
GPA
Hours
3.24
19
3.1
21
3.24
18
2.61
30
3.03
23
3.37
10
1.6
36
3.2
10
2.96
13
2.18
31
2.86
33
2.95
4
2.72
25
3.05
21
3.45
8
2.49
27
3.62
11
2.33
29
2.36
30
3.28
10
3.35
15
2.64
18
2.88
24
2.02
29
2.6
22
3.18
21
3.31
4
Exercise 7-25 Algo Numerous studies have shown that watching too much television hurts school grades. Others have argued that television is not necessarily a...
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