Which of the following best describes a scatterplot and its primary use in statistics?
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
11. Correlation
Scatterplots & Intro to Correlation
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Scatterplots are used to determine which of the following about two quantitative variables?
A
The probability of a single event occurring ()
B
Whether the data are normally distributed ()
C
The form, direction, and strength of the relationship between the variables
D
The mean () and standard deviation () of a single variable
Verified step by step guidance1
Understand that a scatterplot is a graphical tool used to visualize the relationship between two quantitative variables by plotting data points on a Cartesian plane.
Recognize that scatterplots help identify the form of the relationship, which can be linear, nonlinear, or show no clear pattern.
Observe the direction of the relationship in a scatterplot, which can be positive (both variables increase together), negative (one variable increases while the other decreases), or no direction (no apparent trend).
Assess the strength of the relationship by looking at how closely the data points cluster around a form (e.g., a line); tightly clustered points indicate a strong relationship, while widely scattered points indicate a weak relationship.
Note that scatterplots do not provide information about probabilities of single events, normality of data distribution, or summary statistics like mean and standard deviation of a single variable.
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