Engineers are studying how cargo weight affects the flight duration of a delivery drone. The data below shows the cargo weight (pounds) and the corresponding flight time (minutes) for 12 test flights. Generate a scatterplot using a graphing calculator with cargo weight as the x-axis. Is there a correlation between cargo weight and flight duration.
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- 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 33m
- 9. Hypothesis Testing for One Sample3h 32m
- 10. Hypothesis Testing for Two Samples4h 49m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 2m
- 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 59m
- 13. Chi-Square Tests & Goodness of Fit2h 31m
- 14. ANOVA2h 1m
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
The table shows the mean driving speed of drivers in a 55mph zone and the number of speeding tickets they've received in the past 10 years. Plot the data in a scatterplot with speed on the x-axis. What can you determine about the relationship between mean speed and the number of speeding tickets?

A
Positive correlation
B
Negative correlation
C
Nonlinear correlation
D
No correlation
Verified step by step guidance1
Step 1: Begin by identifying the variables in the table. The 'Mean Speed' is the independent variable (x-axis), and the '# Tickets' is the dependent variable (y-axis). These variables will be plotted on a scatterplot.
Step 2: Create a scatterplot by plotting each pair of values from the table. For example, plot the point (63, 4), where 63 is the mean speed and 4 is the number of tickets. Repeat this for all pairs in the table.
Step 3: Observe the pattern of the points on the scatterplot. Look for trends or relationships between the x-axis (mean speed) and y-axis (number of tickets). Specifically, check if the points tend to increase together, decrease together, or show no clear pattern.
Step 4: Analyze the relationship. If the points show an upward trend (as mean speed increases, the number of tickets also increases), this indicates a positive correlation. If the points show a downward trend, it indicates a negative correlation. If the points are scattered without a clear trend, it suggests no correlation.
Step 5: Based on the scatterplot and the observed trend, determine the type of correlation (positive, negative, nonlinear, or no correlation). Use this analysis to answer the question about the relationship between mean speed and the number of speeding tickets.
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