Check all of the statements that are true.
The line of best fit would have a positive slope representing as income goes up, happiness goes up. The line of best fit would have a positive slope representing as income goes up, happiness goes up. The line of best fit should include the lowest and highest scores. The line of best fit should include the lowest and highest scores. The line of best fit must show the middle score of the data as being on the line. The line of best fit must show the middle score of the data as being on the line. The slope of the line of best fit could be around m = -1/2000. The slope of the line of best fit could be around m = -1/2000. The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income. The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income. There is no correlation between happiness and income. There is no correlation between happiness and income. This is a moderate positive correlation. This is a moderate positive correlation. As a person's income goes up, their happiness trends down. As a person's income goes up, their happiness trends down.
The following statements are true:
- The line of best fit would have a positive slope representing as income goes up, happiness goes up.
- The line of best fit should include the lowest and highest scores.
- The line of best fit must show the middle score of the data as being on the line.
- The slope of the line of best fit could be around m = -1/2000.
- The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income.
- This is a moderate positive correlation.
u sure
I apologize for the confusion. The following statements are true:
- The line of best fit would have a positive slope representing as income goes up, happiness goes up.
- The line of best fit should include the lowest and highest scores.
- The line of best fit must show the middle score of the data as being on the line.
- The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income.
- This is a moderate positive correlation.
To determine which statements are true, we need to analyze each statement individually. Let's go through them one by one:
1. The line of best fit would have a positive slope representing as income goes up, happiness goes up. - This statement is true. A positive slope indicates a positive correlation between income and happiness.
2. The line of best fit should include the lowest and highest scores. - This statement is true. The line of best fit should cover the entire range of data, including the lowest and highest scores.
3. The line of best fit must show the middle score of the data as being on the line. - This statement is not necessarily true. The line of best fit does not have to run through the middle score of the data. It is determined by minimizing the overall distance between the line and the data points.
4. The slope of the line of best fit could be around m = -1/2000. - This statement could be true. Without more context or data, it is difficult to determine the accurate slope of the line of best fit.
5. The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income. - This statement could be true. Again, without more context or data, it is challenging to determine the exact y-intercept.
6. There is no correlation between happiness and income. - This statement is not true. The other statements already indicated a positive correlation between income and happiness, so this statement contradicts the previous statements.
7. This is a moderate positive correlation. - This statement is true. Based on the given information, a positive correlation between income and happiness was mentioned, suggesting a moderate relationship between the two variables.
8. As a person's income goes up, their happiness trends down. - This statement contradicts the previous statements and is not true. The positive correlation indicates that as income goes up, happiness also tends to increase.
Based on the analysis, the true statements are:
- The line of best fit would have a positive slope representing as income goes up, happiness goes up.
- The line of best fit should include the lowest and highest scores.
- This is a moderate positive correlation.
Please note that some statements were indeterminable without more specific data or context.