placeholder image to represent content

Linear Regression Questions

Quiz by Gina Vifquain

Feel free to use or edit a copy

includes Teacher and Student dashboards

Measure skills
from any curriculum

Tag the questions with any skills you have. Your dashboard will track each student's mastery of each skill.

With a free account, teachers can
  • edit the questions
  • save a copy for later
  • start a class game
  • view complete results in the Gradebook and Mastery Dashboards
  • automatically assign follow-up activities based on students’ scores
  • assign as homework
  • share a link with colleagues
  • print as a bubble sheet

Our brand new solo games combine with your quiz, on the same screen

Correct quiz answers unlock more play!

New Quizalize solo game modes
10 questions
Show answers
  • Q1
    What is the name of the process used to fine the "line of best fit"?
    extrapolation
    interpolation
    regression
    correlation
    20s
  • Q2
    Which is the best prediction for the correlation coefficient?
    Question Image
    r = -0.8
    r = -0.3
    r = 0.8
    r = -1
    20s
  • Q3
    What term is used when making predictions beyond the values given for x?
    correlation
    extrapolation
    regression
    interpolation
    20s
  • Q4
    From the graph, what is the predicted weight of someone who is 50 inches tall?
    Question Image
    108 pounds
    14 pounds
    130 pounds
    94 pounds
    30s
  • Q5
    If the linear model is appropriate, what should you see in the residual plot?
    a pattern
    no pattern
    10s
  • Q6
    Fill in the blank: R-squared is the percent of _______ that is accounted for by the linear model.
    data
    correlation
    standard deviation
    variation
    20s
  • Q7
    If an x is 1.5 SD's above average, what would you predict for the value of y?
    1.5 SD's below average
    1.5r SD's above average
    1.5r SD's below average
    1.5 SD's above average
    20s
  • Q8
    How do you find a residual?
    actual - predicted
    predicted - actual
    use LinReg in the calculator
    20s
  • Q9
    For the linear equation: price = 0.50(year) + 1.25, what does the slope tell us?
    The years went up by 0.50 per price
    The initial price is 1.25
    The price went up 1.25 per year
    The price went up 0.50 per year
    20s
  • Q10
    For the linear model y = -2.5x + 12, if r-squared is 86%, what is the correlation coefficient?
    -0.86
    -0.93
    0.93
    9.3
    30s

Teachers give this quiz to your class