The first ring is $50, the second ring is 37.50 and the third ring is 25.00
The total of the rings before tax is 112.50 and $121.50 after tax
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.
1.The sample is biased because it does not represent the population.
2.The question is biased toward a Yes response.
Answer:
699.7
Step-by-step explanation:
690.95 + 8.75 = 699.7
Answer:
I think it's 9:50
Step-by-step explanation:
