Data were collected that included information on the weight of the trash (in pounds) on the street one week and the number of people who live in the house. The figure shows a scatterplot with the regression line. Complete parts (a) through (d) below. Click the icon to view the scatterplot and the regression line a. Is the trend positive or negative? What does that mean? The trend is CIED As the number of people per household increases, the weight of trash b. Now calculate the correlation between the weight of trash and the number of people. (Use R-Sq from the figure and take the square root of it.) r= ▼ (Round to two decimal places as needed.) c. Report the slope. For each additional person in the house, there are, on average, how many additional pounds of trash? The slope is. For each additional person in the house, there are, on average, d. Either interpret the inten additional pounds of trash. (Type integers or decimals. Do not round.)

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Data were collected that included information on the weight of the trash (in pounds) on the street one week and the number of people who live in the house. The figure shows a scatterplot with the
regression line. Complete parts (a) through (d) below.
Click the icon to view the scatterplot and the regression line
a. Is the trend positive or negative? What does that mean?
As the number of people per household increases, the weight of trash
b. Now calculate the correlation between the weight of trash and the number of people. (Use R-Sq from the figure and take the square root of it.)
The trend is
r=
(Round to two decimal places as needed.)
c. Report the slope. For each additional person in the house, there are, on average, how many additional pounds of trash?
The slope is. For each additional person in the house, there are, on average, additional pounds of trash. (Type integers or decimals. Do not round.)
d. Either interpret the intercept or explain why it is not appropriate to interpret it. Select the correct choice below and fill in the answer box(es) to complete your choice.
(Type integers or decimals. Do not round.)
OA. The predicted weight of trash is
OB. One would expect a household with person/people to generate
OC. For each additional pound of trash, there is/are, on average, additional person/people per household.
OD. It is inappropriate to interpret the intercept because it does not make sense to think of a household with
times the number of people living in the household.
pound(s) of trash.
person/people generating trash.
Transcribed Image Text:← Data were collected that included information on the weight of the trash (in pounds) on the street one week and the number of people who live in the house. The figure shows a scatterplot with the regression line. Complete parts (a) through (d) below. Click the icon to view the scatterplot and the regression line a. Is the trend positive or negative? What does that mean? As the number of people per household increases, the weight of trash b. Now calculate the correlation between the weight of trash and the number of people. (Use R-Sq from the figure and take the square root of it.) The trend is r= (Round to two decimal places as needed.) c. Report the slope. For each additional person in the house, there are, on average, how many additional pounds of trash? The slope is. For each additional person in the house, there are, on average, additional pounds of trash. (Type integers or decimals. Do not round.) d. Either interpret the intercept or explain why it is not appropriate to interpret it. Select the correct choice below and fill in the answer box(es) to complete your choice. (Type integers or decimals. Do not round.) OA. The predicted weight of trash is OB. One would expect a household with person/people to generate OC. For each additional pound of trash, there is/are, on average, additional person/people per household. OD. It is inappropriate to interpret the intercept because it does not make sense to think of a household with times the number of people living in the household. pound(s) of trash. person/people generating trash.
K
Data were collected that included information on the weight of the trash (in pounds) on the street one week and the number of people who live in the house. The figure shows a scatterplot with the
regression line. Complete parts (a) through (d) below.
Click the icon to view the scatterplot and the regression line
a. Is the trend positive c
The trend is
b. Now calculate the co
r=
Scatterplot and Regression Line
For ea
Predicted Trash = 3.624 +9.84 People
(Round to two decimal
c. Report the slope. For
The slope is
d. Either interpret the in
(Type integers or decim
OA. The predicted w
OB. One would expe
OC. For each additio
OD. It is inappropriate to interpret the intercept because it does not make sense to think of a household with
Trash (pounds)
100-
80- R-sq = 77.8%
40-
20-
0
●●
Print
O
4 5
2 3
People per Household
6
...
Done
Q
17
X
square root of it.)
or decimals. Do not round.)
swer box(es) to complete your choice.
person/people generating trash.
Transcribed Image Text:K Data were collected that included information on the weight of the trash (in pounds) on the street one week and the number of people who live in the house. The figure shows a scatterplot with the regression line. Complete parts (a) through (d) below. Click the icon to view the scatterplot and the regression line a. Is the trend positive c The trend is b. Now calculate the co r= Scatterplot and Regression Line For ea Predicted Trash = 3.624 +9.84 People (Round to two decimal c. Report the slope. For The slope is d. Either interpret the in (Type integers or decim OA. The predicted w OB. One would expe OC. For each additio OD. It is inappropriate to interpret the intercept because it does not make sense to think of a household with Trash (pounds) 100- 80- R-sq = 77.8% 40- 20- 0 ●● Print O 4 5 2 3 People per Household 6 ... Done Q 17 X square root of it.) or decimals. Do not round.) swer box(es) to complete your choice. person/people generating trash.
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