Question

Raimy surveyed 10 people, asking them the number of miles they drove last week and the number of gallons of gas they used. The following table shows his results:



Use Geogebra or Desmos to create a scatterplot of this data set. Take a screenshot and upload it here.

(5 points)

Upload files
File Description Mode. Tap to enter descriptions for the uploaded files (250 characters max).
Delete File Mode
Upload filesChoose FilesNo file chosen
Supported file formats: PDF, JPG, GIF, PNG
0 / 12 File Limit
Question 2
Which function type best represents this model?(1 point)
Responses

linear function
linear function

quadratic function
quadratic function

exponential function
exponential function
Question 3
Use technology to create an appropriate regression model (line of best fit) for this data. What was your result?(1 point)
y=
𝑦
=

Question 4
Use your scatterplot and regression model to interpret the data set in terms of the given context. What conclusions can you draw from this data set?
the regression has a blank slope meaning as you drive blank miles you will use blank gallons of gas

Answer 1

[AI-generated answer — Bot GPT 3.5]

Based on the scatterplot and regression model, the data set can be interpreted in terms of a linear function. The regression model shows that the relationship between the number of miles driven and the number of gallons of gas used is a straight line.

The regression model for this data set is:

y = 0.35x

This means that for every mile driven, an average of 0.35 gallons of gas is used. The slope of the regression line indicates that the rate of gas consumption is consistent, with no significant increase or decrease as the number of miles driven increases.

From this data set, we can conclude that there is a linear relationship between the number of miles driven and the number of gallons of gas used. The rate of gas consumption remains relatively constant, with about 0.35 gallons being used per mile.