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Best Fit 2
Contributed by: Tilashalski
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Type data tables in
STAT EDIT.

Use 4:LinReg(ax+b)
for line of best fit

Use 5:QuadReg for
curve or quadratic of
best fit
Determine the quadratic curve of best fit for the data. 
{(2, 4), (3, 8), (4, 16), (5, 29), (6, 12), (7, 0)}

y = -3.2x2 + 29x - 45

y = 7.2x2 + 9x - 42

y = 2.8x2 + 2x + 11

y = -35.2x2 + 291x - 23

Use the curve of best fit you just found to

estimate the value of y when x = 15. 

{(2, 4), (3, 8), (4, 16), (5, 29), (6, 12), (7, 0)}

417

330

-330

-417

Eddie hiked Mt. Washington each year between the

ages of 13 & 17.  The number of miles hiked each

year is recorded below. 

What is the equation for the line of best fit?

y = -42.3x + 965

y = -35.7x + 885.7

y = -21.3x + 754.1

y = -11.7x + 543

Eddie hiked Mt. Washington each year between the

ages of 13 & 17.  The number of miles hiked each

year is recorded below. 

Based on the equation you just found, how many

miles will Eddie hike when he is 21 years old?

164

158

142

136

Determine the quadratic curve of best fit for the data.

y = -0.381x2 + 510x - 637218

y = -0.412x2 + 654x - 789643

y = -0.176x2 + 700.9x - 696543

y = -0.811x2 + 198x - 568992

Richard started a leaf-raking business.  He timed how

many leaves he could rake. 

What is the equation for the line of best fit?

y = 25.26x + 4.2

y = 25.26x + 3.99

y = 25.26x + 3.5

y = 25.26x + 2.7

Richard started a leaf-raking business.  He timed how

many leaves he could rake. 

Based on your line of best fit, how many total leaves

will Richard rake in one hour (60 minutes)?

1519

1689

1734

1882

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