Answer:
C
Step-by-step explanation:
Use distributive property =====> multiply everything inside the parentheses by 9 to get answer C
Answer:
Step-by-step explanation:
Calculate the distance d using the distance formula
d =
with (x₁, y₁ ) = (a, 0) and (x₂, y₂ ) = (0, b)
d =
=
=
Answer:
1. The sum of the residuals is always close to zero.
2.The coefficient of determination measures how much of the variation in the y-values is explained by the regression line.
3. In the equation of the least-squares regression line, y hat is a predicted value when x is known
Step-by-step explanation:
The least square regression line is a line that makes distance from data points to the regression line to be as minimal as possible. This line is a best fit for the data points. Let's say we have a collection of numbers and a scatter plot, this line is a line that exists and best fits the data.
Therefore, the least square regression line minimizes sum of squared error to be close to zero. R² measures the extent to which variations in the value of y is explained by the regression line. In the equation of this line, y hat is a predicted value when x is known.
The whole second is the first number to the left of the decimal (_.)
So, 35.78 = 36 because 7>5.
39.51 = 40 because 5 = 5.
40 - 36 = 4.
Bailey won the race by about 4 seconds.
Answer:
9.31
Step-by-step explanation: