The scatter plot shows the time a swimmer spends practicing and number of meets won. Swim Meets Meets Won 10 y 9 8 3 2 1 0 1 2 3 5 6 7 8 9 10 4 Practice (in hours) Use the line of fit, ý = 0.335x + 3.655, to predict how many meets are won if the swimmer practices for 19 hours next week. Explain whether this is a valid prediction.
The scatter plot shows the time a swimmer spends practicing and number of meets won. Swim Meets Meets Won 10 y 9 8 3 2 1 0 1 2 3 5 6 7 8 9 10 4 Practice (in hours) Use the line of fit, ý = 0.335x + 3.655, to predict how many meets are won if the swimmer practices for 19 hours next week. Explain whether this is a valid prediction.
MATLAB: An Introduction with Applications
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10.02 meets; this is not a valid prediction because the extrapolated value is not reasonable
10.02 meets; this is valid because it is a reasonable prediction
45.81 meets; this is valid because it is a reasonable prediction
45.81 meets; this is not a valid prediction because the extrapolated value is not reasonable

Transcribed Image Text:The scatter plot shows the time a swimmer spends practicing and number of meets won.
Meets Won
10
9
8
7
4
3
2
1
01 2
Swim Meets
3
5 67 8 9 10
4
Practice (in hours)
Use the line of fit, ŷ = 0.335x + 3.655, to predict how many meets are won if the swimmer practices for 19 hours next week. Explain whether this is a valid prediction.
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