2. Two variables have a positive linear correlation. Is the slope of the regression line for the variables positive or negative?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
12. Regression
Linear Regression & Least Squares Method
Problem 9.2.12
Textbook Question
"In Exercises 7-12, match the description in the left column with its symbol(s) in the right column.
12. The point a regression line always passes through
a. \hat{y}_i
b. y_i
c. b
d. (\bar{x}, \bar{y})
e. m
f. \bar{y}"
Verified step by step guidance1
Understand that a regression line is a straight line that best fits the data points in a scatterplot, typically described by the equation or in statistics as .
Recall a key property of the least squares regression line: it always passes through the point representing the means of the x and y variables, which is .
Identify the symbols given in the problem: is the mean of x, is the mean of y, is the slope, is the y-intercept, is an observed y-value, and is a predicted y-value from the regression line.
Match the description 'The point a regression line always passes through' with the symbol representing the point of means, which is .
Conclude that the correct match is option d: .
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Regression Line
A regression line is a straight line that models the relationship between an independent variable (x) and a dependent variable (y). It is used to predict values of y based on x, minimizing the sum of squared differences between observed and predicted values.
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Mean of x and y (Centroid)
The point (𝑥̄, 𝑦̄) represents the means of the x-values and y-values in the data set. The regression line always passes through this centroid, ensuring the line balances the data points around their average values.
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Regression Line Equation Components
The regression line is typically written as ŷ = b + mx, where b is the y-intercept, m is the slope, and ŷ is the predicted value of y. Understanding these symbols helps interpret the line’s position and direction.
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