Suppose you are shown two scatterplots: Scatterplot A shows a strong upward trend with points closely clustered around a straight line, while Scatterplot B shows points widely scattered with no apparent pattern. Which of the following conclusions is best supported by the graphs?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 56m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 17m
- 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 - ExcelBonus23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - ExcelBonus28m
- Confidence Intervals for Population Means - ExcelBonus25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 8m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - ExcelBonus42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - ExcelBonus27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 37m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - ExcelBonus28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - ExcelBonus12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - ExcelBonus9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - ExcelBonus21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - ExcelBonus12m
- Two Variances and F Distribution29m
- Two Variances - Graphing CalculatorBonus16m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - ExcelBonus8m
- Finding Residuals and Creating Residual Plots - ExcelBonus11m
- Inferences for Slope31m
- Enabling Data Analysis ToolpakBonus1m
- Regression Readout of the Data Analysis Toolpak - ExcelBonus21m
- Prediction Intervals13m
- Prediction Intervals - ExcelBonus19m
- Multiple Regression - ExcelBonus29m
- Quadratic Regression15m
- Quadratic Regression - ExcelBonus10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 29m
11. Correlation
Scatterplots & Intro to Correlation
Multiple Choice
Which of the following scatterplots best shows an outlier in both the - and -direction?
A
A scatterplot where most points are clustered near the center, but one point is far to the right and far above the main cluster.
B
A scatterplot where one point is far above the main cluster but has a similar -value as the other points.
C
A scatterplot where all points are closely clustered along a straight line.
D
A scatterplot where one point is far to the right but at the same vertical level as the main cluster.
0 Comments
Verified step by step guidance1
Understand what an outlier is: an outlier is a data point that differs significantly from other observations. In a scatterplot, an outlier can be unusual in the x-direction (horizontal), the y-direction (vertical), or both.
Identify an outlier in the x-direction: this means the point is far away horizontally from the cluster of other points. It should have an x-value much larger or smaller than the rest.
Identify an outlier in the y-direction: this means the point is far away vertically from the cluster of other points. It should have a y-value much larger or smaller than the rest.
Look for a point that is an outlier in both directions simultaneously: this point will be far to the right or left (x-direction) and far above or below (y-direction) the main cluster of points.
Compare the descriptions of the scatterplots: the one that describes a point far to the right and far above the main cluster best represents an outlier in both x- and y-directions.
Related Videos
Related Practice
Multiple Choice
64
views

