Use technology to find the line of best fit for the following data. (βˆ’17,8), (βˆ’14,7), (βˆ’11,6), (βˆ’12,4), (βˆ’10,1), (βˆ’7,3), (βˆ’3,2), (βˆ’3,0), (βˆ’2,βˆ’4), (0,βˆ’2), (2,βˆ’3), (6,βˆ’5), (4,βˆ’6) When the equation of the line is in the form y=mx+b, what is the value of b?

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Answer: Intercept (b) = - 2.2567

Step-by-step explanation:

(βˆ’17,8), (βˆ’14,7), (βˆ’11,6), (βˆ’12,4), (βˆ’10,1), (βˆ’7,3), (βˆ’3,2), (βˆ’3,0), (βˆ’2,βˆ’4), (0,βˆ’2), (2,βˆ’3), (6,βˆ’5), (4,βˆ’6)

Using the online regression calculator :

Ε· = -0.60205X - 2.2567

y is the predictor variable

X - the independent variable

0.60205 = slope or gradient

- 2.2567 = intercept (b) where the line best fit cross the y-axis.

The linear regression line is made using the least-squares method. The value of b is -2.2567.

How does linear regression work?

Firstly, there is a data set. Then, we try to fit a line which will tell about the linear trend. This line is made using the least-squares method.

Given the points of the data(βˆ’17,8), (βˆ’14,7), (βˆ’11,6), (βˆ’12,4), (βˆ’10,1), (βˆ’7,3), (βˆ’3,2), (βˆ’3,0), (βˆ’2,βˆ’4), (0,βˆ’2), (2,βˆ’3), (6,βˆ’5), (4,βˆ’6).

Now, Since the question states about using the technology, therefore, if we use the online regression calculator:

Ε· = -0.60205X - 2.2567

y is the predictor variable

X - the independent variable

-0.60205 is the value of m which is the slope or gradient of the regression line, while -2.2567 is the value of the intercept of the regression line.

Hence, the value of b is -2.2567.

Learn more About Linear Regression Line:

https://brainly.com/question/14313391

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