Would you be willing to use the regression line to predict the long-jump distance for a student whose 40-yard sprint time is 3 seconds? Explain.
No, far outside data value
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baam
Lose 25 points!
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fairy
Take points!
5
10
15
20
25
gift
Win 25 points!
Okay!
baam
Lose 10 points!
Oops!
boom
Lose 50 points!
Oops!
gold
Win 50 points!
Okay!
rocket
Go to first place!
Okay!
banana
Go to last place!
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20
Predict the interval of time between eruptions if the previous eruption lasted 4 minutes
86.51 minutes
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15
Estimate r
close to -1
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15
Use it to determine whether the regression model is appropriate.
yes
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20
Calculate a quadratic model for these data using carapace length as the explanatory variable
Y =â0.0106x^2 +6.6181xâ1018.9553
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15
Interpret the value r^2 = 0.646 for this model.
64.6% of the variability in the percent of the grass area burned is accounted for by the least-squares regression line with x = wildebeest abundance.
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20
Calculate Correlation
.89
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15
Use it to determine whether the regression model is appropriate.
Yes
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20
Make a scatterplot
2.2 #5
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15
Interpret the value s = 15.99 for this model.
The actual percent of the grass area burned is typically about 15.99% away from its predicted percent of the grass area burned using the least-squares regressio