The manager of a restaurant recorded how many peup groups of customers and how much those groups spent on food and beverages
The scatterplot below shows the data she recorded.
Food and Beverages
y
140
120
100
Total Spent
(dollars)
80
Ooo
60
40
20
х
0
2 4 6 8 10
Number of People
Based on this scatterplot, about how much money would a group of 10 people
be expected to spend on food and beverages at this restaurant?
A. $135
B. $115
C. $105
D. $150

Jessica is a custodian at oracle arena. she waxes 20 m2 of the floor in 3/5 of an hour. jessica waxes the floor at a constant rate. at this rate how many sqaures meters can she wax per hour

Part one: measurements 1. measure your own height and arm span (from finger-tip to finger-tip) in inches. you will likely need some from a parent, guardian, or sibling to get accurate measurements. record your measurements on the "data record" document. use the "data record" to you complete part two of this project. name relationship to student x height in inches y arm span in inches archie dad 72 72 ginelle mom 65 66 sarah sister 64 65 meleah sister 66 3/4 67 rachel sister 53 1/2 53 emily auntie 66 1/2 66 hannah myself 66 1/2 69 part two: representation of data with plots 1. using graphing software of your choice, create a scatter plot of your data. predict the line of best fit, and sketch it on your graph. part three: the line of best fit include your scatter plot and the answers to the following questions in your word processing document 1. 1. which variable did you plot on the x-axis, and which variable did you plot on the y-axis? explain why you assigned the variables in that way. 2. write the equation of the line of best fit using the slope-intercept formula $y = mx + b$. show all your work, including the points used to determine the slope and how the equation was determined. 3. what does the slope of the line represent within the context of your graph? what does the y-intercept represent? 5. use the line of best fit to you to describe the data correlation.

Why do interests rates on loans to be lower in a weak economy than in a strong one