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.

the size of the resulting matrix is 1-by-3.

step-by-step explanation:

the size of the two matrices given are as follows:

no .of rows of matrix 1 = 1

no .of columns of matrix 1 = 3

no .of rows of matrix 1 = 3

no .of columns of matrix 1 = 3

to find the size of the resulting matrix without actually solving the multiplication of the matrix, this is what you do:

if resulting matrix = matrix 1 * matrix 2

no. of rows of the resulting matrix = number of rows of matrix 1

no. of columns of resulting matrix = number of columns of matrix 2

note: the order of the matrices matter!

there are no figures how am i supposed to answer this question

step-by-step explanation: