2. I surveyed 150 adults in the U.S. and asked them how many hours of TV th watched on average per week. I then ran a regression of # of hours of TV on whether or not they were a college graduate (=1 if yes, =0 if no), their age in years, the number of children in their household, and whether or not they live a cold climate (=1 if latitude is greater than 41.2, =0 otherwise). The results fr the regression are shown in the table below. Estimate p-value College Graduate -0.8 0.003 Age 0.1 0.150 Number of Children 0.10 0.521 Cold Climate 1.8 0.047 Intercept -1.23 0.041 (a) What is the dependent variable in this regression? (b) What are the independent variable(s) in this regression? (c) What is the unit of analysis? (d) What is the sample size? (e) What is one binary variable used in this analysis? (f) What is one ratio variable used in this analysis? (g) What is the predicted number of TV hours watched by a 50 year old, colleg graduate, with no children at home who lives in Arizona (warm climate)? (h) What is the predicted number of TV hours watched by a 21 year old, non college graduate, with one child at home, who lives in Minnesota (cold climate (i) What is the predicted effect of having two more children on weekly tv watching? (j) What is the predicted effect of moving from a cold climate to a warm climat on weekly tv watching? (k) Does the coefficient on college graduate reach a standard level of statistica significance? Briefly explain. What does this mean? (1) Does the coefficient on number of children reach a standard level of statistic significance? Briefly explain. What does this mean?

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2. I surveyed 150 adults in the U.S. and asked them how many hours of TV the
watched on average per week. I then ran a regression of # of hours of TV on
whether or not they were a college graduate (=1 if yes, =0 if no), their age in
years, the number of children in their household, and whether or not they live
a cold climate (=1 if latitude is greater than 41.2, =0 otherwise). The results fro
the regression are shown in the table below.
Estimate p-value
College Graduate -0.8 0.003
Age 0.1 0.150
Number of Children 0.10 0.521
Cold Climate 1.8 0.047
Intercept -1.23 0.041
(a) What is the dependent variable in this regression?
(b) What are the independent variable(s) in this regression?
(c) What is the unit of analysis?
(d) What is the sample size?
(e) What is one binary variable used in this analysis?
(f) What is one ratio variable used in this analysis?
(g) What is the predicted number of TV hours watched by a 50 year old, colleg
graduate, with no children at home who lives in Arizona (warm climate)?
(h) What is the predicted number of TV hours watched by a 21 year old, non
college graduate, with one child at home, who lives in Minnesota (cold climate)
(i) What is the predicted effect of having two more children on weekly tv
watching?
(j) What is the predicted effect of moving from a cold climate to a warm climate
on weekly tv watching?
(k) Does the coefficient on college graduate reach a standard level of statistical
significance? Briefly explain. What does this mean?
(1) Does the coefficient on number of children reach a standard level of statistic
significance? Briefly explain. What does this mean?
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Transcribed Image Text:2. I surveyed 150 adults in the U.S. and asked them how many hours of TV the watched on average per week. I then ran a regression of # of hours of TV on whether or not they were a college graduate (=1 if yes, =0 if no), their age in years, the number of children in their household, and whether or not they live a cold climate (=1 if latitude is greater than 41.2, =0 otherwise). The results fro the regression are shown in the table below. Estimate p-value College Graduate -0.8 0.003 Age 0.1 0.150 Number of Children 0.10 0.521 Cold Climate 1.8 0.047 Intercept -1.23 0.041 (a) What is the dependent variable in this regression? (b) What are the independent variable(s) in this regression? (c) What is the unit of analysis? (d) What is the sample size? (e) What is one binary variable used in this analysis? (f) What is one ratio variable used in this analysis? (g) What is the predicted number of TV hours watched by a 50 year old, colleg graduate, with no children at home who lives in Arizona (warm climate)? (h) What is the predicted number of TV hours watched by a 21 year old, non college graduate, with one child at home, who lives in Minnesota (cold climate) (i) What is the predicted effect of having two more children on weekly tv watching? (j) What is the predicted effect of moving from a cold climate to a warm climate on weekly tv watching? (k) Does the coefficient on college graduate reach a standard level of statistical significance? Briefly explain. What does this mean? (1) Does the coefficient on number of children reach a standard level of statistic significance? Briefly explain. What does this mean? A iMessage # ebay A *Pay C 1
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