Step 2: Evaluating trends of data Because you want to prepare and serve the healthiest food possible, you monitor the fat
and calorie content of items on your menu. Some of the menu items are included in the
graph below.
Fat & Calorie Content
1000
800
1600
Calories
400
200
0
0
6
10
12
2
14
16
8
Fat
a) Your business partner describes this as a high positive correlation. Is your partner
correct? Why or why not? (2 points)
b) Using the drawing tools, draw a trend line (line of best fit) on the graph above. (2
points)

I know im late but here is the answer can i still get breainliest?

Step-by-step explanation:

a) Your business partner describes this as a high positive correlation. Is your partner correct? Why or why not?

Yes, my partner is correct because as the fat increases the calories increase. And when the points are rising from the left to the right, this indicates a positive correlation.

b) Using the drawing tools, draw a trend line (line of best fit) on the graph above.

it's basically a line that goes up to the right like this /

c) Judge the closeness of your trend line to the data points. Do you notice a relationship between the data points?

This is a linear trend because it moves in a line going up at a predictable rate.

d) Is the trend line linear? If so, write a linear equation that represents the trend line. Show your work.

No, the trend line is not linear, because it squiggles at the end.

b. y = 4x - 2

step-by-step explanation:

to find a parallel equation to an equation, make sure both equations have the same slope but different y-intercepts.

y = 4x + 1

4 = slope

1 = y-intercept

y = 4x - 2

4 = slope

-2 = y-intercept

they both have the same slope but different y-intercepts, so, b. is the correct answer.

and to check your work, you can graph both equations. : )