The scatter plot shows the number of text messages sent per day versus age (in years) of the smartphone user. The least squares regression equation is:

Predicted Number of Text Messages Sent = 60 – 0.8 • Age

Use the drop-down menus to complete the statements below about what this linear model tells you about text messages sent by smartphone users.

Plz help it is worth 25 points

find the answers in the explanation.

Step-by-step explanation:

Given that the predicted Number of Text Messages Sent = 60 – 0.8 • Age

Where the slope = - 0.8

The intercept = 60

1) the slope of the least regression line is -0.8

2.) The unit of the slope of the line is text per year

3.) Therefore, the slope of the line tells you that for every year older the smart phone user is, you can expect a typical average in text messages sent of - 0.8

4.) The y - intercept of the least square regression line is 60

5.) The unit of the y - intercept of the line are text sent

6.) The y - intercept of the line tells you the starting point. The first number of text messages sent.

hello :

70y^8 + 30y^6 = 2 ( 35 y^8 + 15y^6)

the lenght is : 35 y^8

the width is : 15y^6

example 2 – simplify: step 1: completely factor both the numerators and denominators of all fractions. step 2: change the division sign to a multiplication sign and flip (or reciprocate) the fraction after the division sign; essential you need to multiply by the reciprocal. step 3 : cancel or reduce the fractions.