# BAED-STAT2112-2322S Q2 Performance Task 2: Scatter Plot and Data Analysis

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## 11 Questions

### Which type of association is observed between the two variables studied in the data?

Weak linear association

3.004

### What is the primary purpose of a scatterplot analysis?

To identify patterns in data

### What does a high R-squared value indicate in a linear regression?

Strong correlation between variables

### In what scenario would scatterplot analysis be ineffective for drawing conclusions?

When there is a non-linear relationship

Scatter plot

### In the context of bivariate data, what three important characteristics are typically analyzed?

Direction, Shape, Strength

0.600

0.0741

### Based on the significance test in question 7, what can be concluded about the Police Sub Station's claim?

Reject the null hypothesis

### What is the direction of the association between the two variables given in question 10?

Positive linear association

## Study Notes

### Statistics and Data Analysis

• A scatter plot is used to visualize the relationship between two continuous variables.
• In a random sample of 30 projects, if the cost of material is higher in 20 projects, the test statistic for this scenario can be calculated.
• The strength of the association between two variables can be measured, with options including positive linear association, negative linear association, strong linear association, weak linear association, or none of the above.
• Scatterplot analysis is used to measure the relationship between bivariate data.
• The three important characteristics of a bivariate distribution are direction, shape, and strength.
• In a random sample of 200 accidents, if 135 accidents are related to motorcycles, the test statistic for this scenario can be calculated.
• A hypothesis test can be used to test a claim about a population proportion, with options including accepting or rejecting the null hypothesis.
• A series of disconnected points on a graph is referred to as a scatter plot.
• The observed value of the sample proportion can be calculated in a hypothesis test, such as in a sample of 10 processed food items where the cost of material is higher in 6 items.
• The direction of the association between two variables can be measured, with options including positive linear association, negative linear association, strong linear association, weak linear association, or none of the above.

Test your understanding of scatter plots and data analysis with this performance task from BAED-STAT2112-2322S. Analyze data to choose the correct scatter plot and interpret a scenario involving a building contractor adjusting project prices.

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