Answer: the number 1 or any number (such as 3, 12, 432) obtained by adding 1 to it one or more times: a positive integer. 2: any of the positive integers together with 0: a nonnegative integer.
Step-by-step explanation:
the number 1 or any number (such as 3, 12, 432) is obtained by adding 1 to it one or more times: a positive integer. 2: any of the positive integers together with 0: a nonnegative integer
Answer: the perimeter is 214. AB's half is 32.5 and BC's whole is 65
Step-by-step explanation: 10x-5 and 12x-26 are equal, as shown by the marks on their lines, so we can set them equal to each other to solve for x. when solved x=7. then plug 7 into each equation to get 65. lastly add up 84+65+65 to get 214.
solve for y
2x−4y=10
-2x -2x subtract -2x from both sides
-4y = -2x +10
-4 -4 Divide both sides by -4 (coefficient on y)
y = -2/-4x + 10/-4
y = 1/2x - 5/2
the slope is the number on the x (coefficient)
and its 1/2
Answer:
33.5
-by-step explanation:
8.5 + (12 + 4) × 2 - 7
Use PEMDAS ( I think this is right hope it helps!)
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.
