2-Var Stats | Baamboozle - Baamboozle | The Most Fun Classroom Games!

Use technology to calculate the equation of the least-squares regression line relating y = number of larvae to x = number of stumps.

y = −1.29 + 11.89x

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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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Calculate and interpret the residual for March, when the average temperature was 49.4°F and Joan used an average of 520 cubic feet per day.

443.422 cubicfeetperday, res=76.578

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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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make a segmented bar chart

expl = age

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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

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Estimate r

Close to 1

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Predict the long-jump distance for a student who had a 40-yard-dash time of 6 seconds

140.8 inches

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Use it to determine whether the regression model is appropriate.

yes

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Interpret r=.45

somewhat weak and positive

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Use technology to calculate the equation of the least-squares regression line relating y = price to x = screen size.

Y = −575.23 + 25.41x

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banana

Go to last place!

Oops!

seesaw

Swap points!

Okay!

fairy

Take points!

lifesaver

Give 20 points!

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Find the equation of the least-squares regression line for predicting the number of wins from number of goals scored.

Y=−0.15+0.29x

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seesaw

Swap points!

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shark

Other team loses 25 points!

Okay!

fairy

Take points!

lifesaver

Give 25 points!

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Use it to determine whether the regression model is appropriate.

Yes

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monster

Reset all scores!

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gift

Win 15 points!

Okay!

rocket

Go to first place!

Okay!

thief

Give points!

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