13. In the National Hockey League, a good predictor of the percentage of games won by a team is the number of goals the team allows during the season. Data were gathered for all 30 teams in the NHL and the scatterplot of their Winning Percentage against the number of Goals Allowed in the 2006/2007 season with a fitted least-squares regression line is provided: 70 47 65- 60- Ss- 50- 345- 40- 35- 30 175 200 225 250 Goals Allowed 275 300 The least-squares regression line and were calculated to be Winning Percent (%) = 116.95 - 0.26 Goals Allowed - 0.69 Which of the following provides the best interpretation of the slope of the regression line? O If the Winning Percent increases by 1%, then the number of Goals Allowed decreases by 0.26. O If a team were to allow 100 goals during the season, their Winning Percent would be 90.95%. O If Goals Allowed increases by one goal, the Winning Percent increases by 0.26%. O If the Winning Percent increases by 1%, then the number of Goals Allowed increases by 0.26. O If Goals Allowed increases by one goal, the Winning Percent decreases by 0.26%.

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Either larger or smaller than 0.827, it is imposSIble to say which.
13. In the National Hockey League, a good predictor of the percentage of games won by a team is the number of goals the team allows during the season. Data were gathered for all 30 teams in the NHL and the
scatterplot of their Winning Percentage against the number of Goals Allowed in the 2006/2007 season with a fitted least-squares regression line is provided:
70-
65-
60-
50-
345-
*..
40-
35
30-
175
200
225
250
275
300
Goals Allowed
The least-squares regression line and were calculated to be
Winning Percent (%) = 116.95 - 0.26 Goals Allowed
E= 0.69
Which of the following provides the best interpretation of the slope of the regression line?
O If the Winning Percent increases by 1%, then the number of Goals Allowed decreases by 0.26.
O If a team were to allow 100 goals during the season, their Winning Percent would be 90.95%.
O If Goals Allowed increases by one goal, the Winning Percent increases by 0.26%.
O If the Winning Percent increases by 1%, then the number of Goals Allowed increases by 0.26.
O If Goals Allowed increases by one goal, the Winning Percent decreases by 0.26%.
14. John's parents recorded his height at various ages between 36 and 66 months. Below is a record of the results:
60
66
45
43
Age (months)
Height (inches)
54
36
34
48
38
41
Which of the following is the equation of the least-squares regression line of John's height on age? (Note: You do not need to directly calculate the least-squares regression line to answer this question.)
O Height = 12 x (Age)
O Height = Age/12
O Height = 60 - 0.22 x (Age)
Submit
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Transcribed Image Text:Either larger or smaller than 0.827, it is imposSIble to say which. 13. In the National Hockey League, a good predictor of the percentage of games won by a team is the number of goals the team allows during the season. Data were gathered for all 30 teams in the NHL and the scatterplot of their Winning Percentage against the number of Goals Allowed in the 2006/2007 season with a fitted least-squares regression line is provided: 70- 65- 60- 50- 345- *.. 40- 35 30- 175 200 225 250 275 300 Goals Allowed The least-squares regression line and were calculated to be Winning Percent (%) = 116.95 - 0.26 Goals Allowed E= 0.69 Which of the following provides the best interpretation of the slope of the regression line? O If the Winning Percent increases by 1%, then the number of Goals Allowed decreases by 0.26. O If a team were to allow 100 goals during the season, their Winning Percent would be 90.95%. O If Goals Allowed increases by one goal, the Winning Percent increases by 0.26%. O If the Winning Percent increases by 1%, then the number of Goals Allowed increases by 0.26. O If Goals Allowed increases by one goal, the Winning Percent decreases by 0.26%. 14. John's parents recorded his height at various ages between 36 and 66 months. Below is a record of the results: 60 66 45 43 Age (months) Height (inches) 54 36 34 48 38 41 Which of the following is the equation of the least-squares regression line of John's height on age? (Note: You do not need to directly calculate the least-squares regression line to answer this question.) O Height = 12 x (Age) O Height = Age/12 O Height = 60 - 0.22 x (Age) Submit Remaining: 1:05:00 Start: 10:41 PM 10:46 PM E ENG 号 2/16/2021 P Type here to search (16 PgDn PrtScn FB Home F9 End Pgup F11 Ins DII F10 Esc F6 F2 F3 F4 FT #3 2$ % & 3. 4 6. 7 8 9. W R Y Tab D F H K A LI
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