Answer:
129.4
Step-by-step explanation:
Calculation for what's the total length from the front of the first bus to the end of the last
First step is to multiply the given number of buses by the length of each one
Hence,
12.6 meters x 9 = 113.4 meters
Second step
Since there are 8 spaces in between we would multiply the 8 spaces by 2 meters
8 x 2 meters = 16
Now let calculate total length from the front of the first bus to the end of the last
16 + 113.4 meters =129.4
Therefore total length from the front of the first bus to the end of the last will be 129.4
Answer:
x either equals to 4 of 9 so you can write it like x=4, 9
Step-by-step explanation:
Start by simplifying each sides of the equation.
x^2-13x+36=0
Then factor the left side of the equation.
(x-4)(x-9)=0
Set factors equal to 0
x-4=0 or x-9=0
x=4 or x=9
Answer:
x = 1.5
, y = 3 + 2at.
Step-by-step explanation:
For the parabola
= 4aX ,
General form will be
(X = a
, Y = 2at) ,
Thus , for the parabola
= 6(x +8)
Here , a = 1.5 and Y from the above equation should be substituted by y - 3 and X must be substituted by x + 8. After substitution of the same we can use the general equation formula for this parabola also.
Thus , general equation comes out to be :-
x + 8 = 1.5
, y - 3 = 2at
x = 1.5
, y = 3 + 2at.
Answer:
negative 8
Step-by-step explanation:
This question is incomplete, the complete question is;
Suppose John is a high school statistics teacher who believes that watching many hours of TV leads to lower test scores. Immediately after giving the most recent test, he surveyed each of the 24 students in his class and asked them how many hours of TV they watched that week. He then matched each student's test grade with his or her survey response. After compiling the data, he used hours of TV watched to predict each student's test score. He found the least-squares regression line to be y" = -1.5x + 85.
He also calculated that the value of r, the correlation, was -0.61.
what is the correct value of the coefficient of determination R² and give a correct interpretation of its meaning
Answer:
Interpretation of coefficient of determination R² = 0.3721
R² = 0.3721, meaning 37.21% of the total variation in test scores can be explained by the least square regression line
Step-by-step explanation:
Given the data in the question;
the least square regression line is;
y" = -1.5x + 85
the correlation coefficient r = -0.61
Now, the coefficient of determination R² is square of correlation coefficient r
R² = -61²
R² = 0.3721