Question 16·Easy·Two-Variable Data: Models and Scatterplots
A science teacher recorded the number of hours five students spent studying for a quiz and each student’s quiz score.
| Hours studied, | 0 | 1 | 2 | 3 | 4 |
|---|---|---|---|---|---|
| Quiz score, | 65 | 70 | 74 | 80 | 83 |
Of the following, which equation best models the relationship between and in the data?
For linear model questions based on a table or scatterplot, first use any clear point with to pin down the y-intercept and quickly eliminate options with the wrong constant term. Then estimate the slope using two points that are as far apart in as possible—compute the change in divided by the change in —and choose the equation whose slope and intercept together best match those estimates. This approach avoids detailed regression calculations and lets you answer quickly by elimination and rough computation.
Hints
Look at the point with 0 hours studied
From the table, what is the quiz score when a student studies 0 hours? In a line , what does represent?
Use the y-intercept to eliminate choices
Which equations give the correct quiz score when ? Use that to cross out any equations that cannot fit the data well.
Estimate how fast the score increases
Compare the quiz scores for students who studied 0 hours and 4 hours. How many points higher is the score, and over how many hours did that change occur?
Match your estimated slope to an equation
Take your estimate of how many points the score increases per hour and compare it to the -coefficients (the slopes) in the remaining equations.
Desmos Guide
Enter the data as a table
Create a table and enter the -values 0, 1, 2, 3, 4 in the first column and the corresponding -values 65, 70, 74, 80, 83 in the second column. This will plot the five data points as a scatterplot.
Graph each candidate equation
On separate lines, type each option exactly: y = 3x + 65, y = 4.5x + 65, y = 5x + 60, and y = 6x + 55. Desmos will draw four lines over your scatterplot.
Compare how well each line fits the data
Look for the line that goes through the point corresponding to 0 hours (the first data point) and stays closest to the rest of the plotted points overall. The equation of that line is the best model among the choices.
Step-by-step Explanation
Understand what it means to “model the relationship”
We are looking for a linear equation whose graph (a straight line) fits the pattern of the data points in the table. The line does not need to go through every point perfectly, but it should match the overall trend: how changes as increases.
Use the point where no studying was done
From the table, when hours, the quiz score is . In a line , the value of is the -intercept, which is the -value when .
So here the model should have because is 65 when . That means any good equation should give 65 when , so you can eliminate any option whose constant term is not 65.
Narrow down the choices using the y-intercept
Check each answer’s constant term (the number added at the end):
- has .
- has .
- has .
- has .
Since the data show when , equations with or do not match that point well, so you can discard and . You are left comparing only the two equations with .
Estimate the slope from the data
Now compare the slopes of the remaining equations: 3 and 4.5. The slope tells you how many points the quiz score increases per extra hour of studying.
Use two points that are far apart in the table to estimate the average increase:
- At , .
- At , .
Compute the average rate of change (slope estimate):
So on average, the score increases about 4.5 points per hour studied.
Match the estimated slope to the correct equation
Your intercept estimate says , and your slope estimate is . Among the answer choices, the equation whose slope and intercept match these values is .