b) Write the equation of your line: ___________________
a) Correlation: ___________________
b) Equation of line of best fit: ___________________
c) If x = 8, what is the predicted y-value? ___________________ Find a set of real-world bivariate data online or in another class (e.g., height vs. shoe size, years of education vs. salary). Create a small scatter plot and draw a line of best fit. Write the equation and one prediction. Teacher’s Tip: For questions involving drawing, encourage students to use a ruler and aim for a line that has roughly the same number of points above and below it.
a) Is the correlation positive or negative? ___________________
| Hours Studied (x) | 0.5 | 1 | 1.5 | 2 | 2.5 | 3 | 4 | |------------------|----|----|----|----|----|----|----| | Test Score (y) | 55 | 65 | 70 | 75 | 80 | 85 | 95 |
c) Predict the y-value when x = 10: ________
e) Is it reasonable to use this line to predict sales at ? Why or why not? 5. Challenge – Interpret the Line A student drew a line of best fit for a scatter plot with the equation: [ y = -2.5x + 45 ]
b) Use two points from your line of best fit to find the slope. Show your work.
c) Predict the value of a car: $_______________ 3. Draw Your Own Line of Best Fit Plot the following points on the grid below (or sketch on your own paper):
| Temp (°F) | 65 | 70 | 72 | 78 | 82 | 85 | 90 | |-----------|----|----|----|----|----|----|----| | Sales ($) | 150| 180| 200| 240| 300| 330| 400|
d) Predict sales if the temperature is : $_______________
b) What does the slope mean in a real-world context? (Write a possible interpretation.)
a) Draw a line of best fit through the data.
_________________________ Date: _________________________ Period: _________________________