if there is a strong correlation between two variables the correlation coefficient will be close to -1 or 1 true or false

Explanation:

r = correlation coefficient

If r is close to -1, then the points are close to (or some fall on) the same straight line that has a negative slope. We consider this be a strong negative linear correlation.

If r is close to +1 or just 1, then the points are close to the same straight line that has a positive slope. These points would be considered to have strong positive linear correlation.

By "same straight line", I mean the regression line or line of best fit.

1. 8

2. 9

3. 20

4. 3

5. 17

6. 2.2

7. 11.25

8. 1

9. 14

10. 2

step-by-step explanation:

thats the first half

step-by-step explanation:

if you want to solve percent error follow these steps.

1. subtract the accepted value from the experimental value.

2. take the absolute value of step 1.

3. divide that answer by the accepted value.

4. multiply that answer by 100 and add the % symbol to express the answer as a percentage.

if you want to solve percent of change just do this.

1. work out the difference (increase) between the two numbers you are comparing.

2. divide the increase by the original number and multiply the answer by 100. if your answer is a negative number then this is a percentage decrease.

hope this : )