All categories

3 years ago

Which expression is equivalent to (r-7)6?

Mathematics

1 answer:

lapo4ka [179]3 years ago

3 0

Answer:

Step-by-step explanation:

The expression equivalent to

$( r^{-7})^{6} \\is\\\frac{1}{r^{42} }$

Hope it helps :)

You might be interested in

is there a proportional relationship between the area of an enlarged rectangle and the area of the original rectangle

Maru [420]

I don’t think so because I haven’t done this sorry

6 0

3 years ago

HELPPPPPPPP PLEASEEEEEEE ILL PAY

kompoz [17]

Answer:

vvvvvvvvvvvvvvvvvvvvvvvvvvvvvv

Step-by-step explanation:

vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv

5 0

3 years ago

Read 2 more answers

What is the volume of a cylinder with a height of 2 feet and a radius of 6 feet?

Bezzdna [24]

Answer:V≈226.19ft³

Step-by-step explanation:

4 0

2 years ago

The length of a rectangle is 12 inches more than its width. The perimeter is 280 inches. Find the length and the width of the re

miss Akunina [59]

Use the equation p=2l+2w and sub everything in to get 280=2l+2(l+12).
distribute the 2 for 280=2l+2l+24.
add/subtract like terms over, leaving you with 256=4l.
divide the 4 from 256, resulting in l=64.
since w=l+12, add 12 to 64 to find that w=76.
basically, l=64 and w=76.
hope this helps!

6 0

3 years ago

Read 2 more answers

Anna set up a lemonade stand on her block over the summer. She recorded each day’s high temperature and the number of cups of le

Alexxx [7]

Answer:

Residual = -2

The negative residual value indicates that the data point lies below the regression line.

Step-by-step explanation:

We are given a linear regression model that relates daily high temperature, in degrees Fahrenheit and number of lemonade cups sold.

$y = -34+ \frac{3}{5} x$

Where y is the number of cups sold and x is the daily temperature in Fahrenheit.

Residual value:

A residual value basically shows the position of a data point with respect to the regression line.

A residual value of 0 is desired which means that the regression line best fits the data.

The Residual value is calculated by

Residual = Observed value - Predicted value

The predicted value of number of lemonade cups is obtained as

$y = -34+ \frac{3}{5} (95)\\\\y = -34+ 3 (19)\\\\y = -34+ 57\\\\y = 23$

So the predicted value of number of lemonade cups is 23 and the observed value is 21 so the residual value is

Residual = Observed value - Predicted value

Residual = 21 - 23

Residual = -2

The negative residual value indicates that the data point lies below the regression line.

7 0

3 years ago