a data set consists of the following data points

(2,4)(4,7)(5,12)

The line best fit has the equation y=2.5x-1.5. What does this equation predict for a value of x=7?

Respuesta :

Answer:

16

Step-by-step explanation:

start off with

y = 2.5x - 1.5

plug in x = 7

so it's now

2.5(7) - 1.5

which is

17.5 - 1.5

=

16

The required value of y at x = 7 on the line is 16.

Given that,
A data set consists of the following data points (2,4)(4,7)(5,12)
The line best fit has the equation y=2.5x-1.5. What does this equation predict for a value of x=7 is to be determined

What is a Line??

A line can be defined by the shortest distance between two points is called as a line. The standard equation of the line is y = mx +c

here,
According to the data points, (2,4)(4,7)(5,12), the equation that best fits has the expression as,

y = 2.5x - 1.5
Where the slope of the line m = 2.5 and y-intercept is c = -1.5

According to the question,
At x = 7, what is y is to be determined
put x = 7 in the equation of the line

y = 2.5 * 7 - 1.5
y = 17.5 - 1.5
y = 16.0

Thus the required value of y at x = 7 on the line is 16.

Learn more about lines here:

brainly.com/question/2696693

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