Someone pls quick attached file below for more information to question the number of hours slept at night is related to the number of minutes spent exercising that day. a collection of data on the number of minutes spent exercising, x, and the number of hours slept, y, is shown in the table below. drop down menu #1: 1. a good fit 2. not a good fit drop down menu #2: 1. non-random 2. random

The model is a good fit for the data in the table because the residual plot has a Random pattern of data points about the horizontal axis.

Step-by-step explanation:

Residual is the distinction between the dependent variable's observed value and the predicted value.

A linear regression model is good If the points of residual plot are spread randomly around the horizontal axis.

Consider the provided data,

Plot the x and y to make a residual plot and then draw the graph of the model:

The required graph is shown in figure 1:

Using the above definition we can say that:

The model is a good fit for the data in the table because the residual plot has a Random pattern of data points about the horizontal axis.

what?

step-by-step explanation:

what do you need with. i love quadrants. can you tell me ?

x = 17

step-by-step explanation:

in the given figure, two triangles are inscribed in a circle where ∠bae ≅ ∠dae which makes the side be and de equal so we can write it as:

3x - 24 = x + 10

solving this equation for x to get:

3x - x = 10 + 24

2x = 34

x = 34/2

x = 17

therefore, the value of x = 17.