Answer:
5.47% of the total variation between the two variables can be explained by the regression line.
Step-by-step explanation:
Given :
R value = 0.234
The R value is the correlation Coefficient ; which gives the type and level of correlation between two variables.
However, to Obtian the percentage variation which can be explained by by the regression line, we have to obtain the Coefficient of determination, R².
R² value is Obtained by taking the squared of the correlation Coefficient
Hence,
R² = 0.234² = 0.054756
R² = 0.05476 * 100% = 5.4756%
Hence, R² = 5.48%
This is interpreted as ; 5.47% of the total variation between the two variables can be explained by the regression line.
Answer:
y = 1.2x + 2
Step-by-step explanation:
slope = (8 - 2)/(5 - 0) = 6/5y-intercept = (0, 2)y = (6/5)x + 2y = 1.2x + 2
Answer:
5log(a) +2log(b)
Step-by-step explanation:
you were close, but you dont multiply the exponents together since a and b are two different variables
Answer:
25%
Step-by-step explanation:
First we calculate the probability of rolling a number greater than 3, that is, it can be 4, 5 or 6.
The probability of each number is 1/6, so:
P1 = (1/6) + (1/6) + (1/6) = 3/6 = 1/2
Then, we calculate the probability of rolling a prime number, that is, 2, 3 or 5.
As we have again 3 numbers, the probability P2 will also be 1/2
Then, the final probability is the product of both P1 and P2:
P = P1 * P2 = (1/2) * (1/2) = 1/4 = 25%
Answer:n>10
Step-by-step explanation:b
