Find Line of Best Fit

Q1. What is the trend observed in the data?

• A) positive trend

• B) negative trend

• C) no trend

Find the line of best fit

• y = 0.27x + 5.8

• y = 5.8x + 0.27

• y = 6

• y = 0

Find the line of best fit

• y = 0.20x + 26

• y = 26x + 0.20

• y = 25x + 28

• y = 28x + 25

The table shown is comparing a person's foot length to their height in cm. Calculate a line of best fit.

• f(x) = 25.05x + 5.57

• f(x) = 127x + 25.05

• f(x) = -127x + 25.05

• f(x) = 127x - 25.05

Calculate the line of best fit.

• y = 510x + 8750

• y = 8750 + 510x

• y = 3x + 10700

• y = 10700x + 3

Find the line of best fit.

• y = -0.96x + 0.78

• y = 0.66x - 0.89

• y = -2x + 2

• y = 2x - 2

Find the line of best fit

• y = 6.3x + 62

• y = 62x + 6.3

• y = 3x + 84

• y = 84x + 3

Find the line of best fit

• y = -5.4x + 10840

• y = 10840x - 5.4

• y = 2001x + 39

• y = 39x + 2001

Find the line of best fit

• y = 0.42x - 20

• y = -20x + 0.42

• y = 67x + 8.5

• y = 8.5x + 67

Find the line of best fit

• y = 0.16x - 0.3

• y = -0.3x + 0.16

• y = 4.75x + 0.5

• y = 0.5x + 4.75