Answer:
y = -3x + 1
Step-by-step explanation:
Plug in your x (2) and y (-5) values into your slope-intercept formula (y=mx+b).
-5 = -3(2) +b
Solve for b:
-5 = -3(2) + b
-5 = -6 + b
1 = b
Plug in the value of <em>b, </em>and<em> </em>the slope (-3) for the formula:
y = -3x + 1
24 divided by 6( the amount of sides) is 4. The square root of 4 is 2 so each side is 2 cm. 2 cm tripled is 6 cm. 6 times 6 is 36 ( that is the surface area of one face). 36 times 6 (the number of faces) is 216 so the answer is 216 cm squared.
Answer:
32.80
Step-by-step explanation:
well it is kind of simple all you need to do is go 26 + 15=41 with the discont of 20% the answer is 32.80 dollars!!!!
Answer:
12 students play chess
and 25 students play Sudoku
Step-by-step explanation:
There are 30 students in Ms Barclay's classroom.
2/5 students play chess.
i.e. 
play chess
i.e. 12 students play chess
5/6 of the students play Sudoku.
i.e. 
play Sudoku
i.e. 25 students play Sudoku
Hence, 12 students play chess
and 25 students play Sudoku
Answer:
A. R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.
Step-by-step explanation:
John is predicting test scores of students on the basis of their home work averages and he get the following regression equation
y=0.2 x +82.
Here, dependent variable y is the test scores and independent variable x is home averages because test scores are predicted on the basis of home work averages.
The coefficient of determination R² indicates the explained variability of dependent variable due to its linear relationship with independent variable.
We are given that correlation coefficient r= 0.82.
coefficient of determination R²=0.82²=0.6724 or 67.24%.
Thus, we can say that 67.24% of total variability in test scores is explained by its linear relationship with homework averages.
Also, we can say that, R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.
