<em><u>"Correlation Coefficient" is the value from between -1 and 1 indicates the strength of the correlation between two variables.</u></em> Galton calculated the correlation coefficient for the line of best fit, to see how strong the relationship was. Hope this helps you! Thank you for posting your question at here on Brainly. Have a great day. -Charlie
Answer:
2 to the power of 2 times three to the power of 2
3 to the power of 2 times 5 to the power of 2
6 to the power of 2 times 7 to the power of 3
7 to the power of 2 times 5 to the power of 3
3 to the power of 2 times 5 to the power 2 times 7 to the power of 2
Step-by-step explanation:
Answer is 214
Step-by-step explanation:
because if you add them it equal that number
Step-by-step explanation:
Confidence interval = mean ± margin of error
CI = μ ± ME
The mean is μ = 8.7.
Margin of error = critical value × standard error
ME = CV × SE
At 95% confidence and 9 degrees of freedom, CV = 2.262.
SE = s / √n
SE = 3.3 / √10
SE = 1.04
The margin of error is:
ME = 2.262 × 1.04
ME = 2.36
CI = 8.7 ± 2.36
CI = (6.34, 11.06)
well from my understanding of the problem and calculations i would say.. (-5.5,0)
