1. The following data has been collected to determine if a relationship exists between the amount of snowfall in Toronto and the number of students who attend lecture at U of T. Year Snowfall, x (cm) Number of students in class, y 1995    173   182 1996 165 190 1997 152 207 1998 184 180 1999 178 184 a. Determine the line of best fit by creating a scatter plot in Excel, a trendline, and the correlation coefficient. Make sure your scatter plot is properly titled and formatted. b. Explain what this correlation tells you about the relationship between the amount of snowfall and the number of students who attend lecture. c. How many students could we expect to attend a lecture if it were to snow 160 cm in a season. Is this an example of interpolation or extrapolation?

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1. The following data has been collected to determine if a relationship exists between the amount
of snowfall in Toronto and the number of students who attend lecture at U of T.
Year Snowfall, x (cm) Number of students in class, y
1995    173   182
1996 165 190
1997 152 207
1998 184 180
1999 178 184
a. Determine the line of best fit by creating a scatter plot in Excel, a trendline, and the
correlation coefficient. Make sure your scatter plot is properly titled and formatted.
b. Explain what this correlation tells you about the relationship between the amount of
snowfall and the number of students who attend lecture.
c. How many students could we expect to attend a lecture if it were to snow 160 cm in a
season. Is this an example of interpolation or extrapolation?  

1. The following data has been collected to determine if a relationship exists between the amount
of snowfall in Toronto and the number of students who attend lecture at U of T.
Snowfall, x (cm)
Number of students in class, y
182
Year
1995
1996
1997
1998
1999
173
165
152
184
178
190
207
180
184
a. Determine the line of best fit by creating a scatter plot in Excel, a trendline, and the
correlation coefficient. Make sure your scatter plot is properly titled and formatted.
Explain what this correlation tells you about the relationship between the amount of
snowfall and the number of students who attend lecture.
b.
c.
How many students could we expect to attend a lecture if it were to snow 160 cm in a
season. Is this an example of interpolation or extrapolation?
Transcribed Image Text:1. The following data has been collected to determine if a relationship exists between the amount of snowfall in Toronto and the number of students who attend lecture at U of T. Snowfall, x (cm) Number of students in class, y 182 Year 1995 1996 1997 1998 1999 173 165 152 184 178 190 207 180 184 a. Determine the line of best fit by creating a scatter plot in Excel, a trendline, and the correlation coefficient. Make sure your scatter plot is properly titled and formatted. Explain what this correlation tells you about the relationship between the amount of snowfall and the number of students who attend lecture. b. c. How many students could we expect to attend a lecture if it were to snow 160 cm in a season. Is this an example of interpolation or extrapolation?
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