Answer:
I just answed this question today!Your asnwer is 144.
Step-by-step explanation:
1:5:3
48 total.
Divide 48 and get 16
<u>Multiply 16 x1</u>
<u>Multiply 16 x5</u>
<u>Multiply 16x 3</u>
<u>16:80:48</u>
Answer:
101
Step-by-step explanation:
31+20+25+25=101
Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.
The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).
We are given:
R = 0.75
So,
R² = 0.75²
R² = 0.5625
R² = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
Answer:
5/7
Step-by-step explanation:
6/7-1/7=5/7
