Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
12. Regression
Linear Regression & Least Squares Method
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
The scatterplot below shows a set of data and its least-squares regression line. Based on the graph, which of the following is most likely the equation of the regression line?

A
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D

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Step 1: Observe the scatterplot and the regression line. The regression line has a negative slope, as it decreases from left to right. This indicates that the coefficient of x in the equation must be negative.
Step 2: Identify the y-intercept of the regression line. The line crosses the y-axis at approximately 50, which suggests the constant term in the equation is close to 50.9.
Step 3: Compare the slope visually. The slope of the line appears to be steep, suggesting a larger absolute value for the slope coefficient. Among the options provided, the slope of -4.1 matches the visual steepness.
Step 4: Eliminate incorrect options. Based on the negative slope and the y-intercept near 50.9, eliminate equations with positive slopes or incorrect intercepts.
Step 5: Select the equation that matches both the slope and y-intercept. The correct equation is ŷ = -4.1x + 50.9.
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