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alexandr402 [8]
3 years ago
6

Inverse functions, PLEASE HELP I’m stuck

Mathematics
1 answer:
devlian [24]3 years ago
6 0
  • I learned how this week so I can help
  • 3/4
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Two parallel lines are cut by a transversal as shown below.<br> Suppose m 6=63º. Find m 1 and m 3
tester [92]

Answer:

Both are 117 degrees.

Step-by-step explanation:

Since 6 and 8 are vertical angles, they are congruent. So, 8 is also 63 degrees. Angle 4 corresponds to angle 8, so it is also 63. Angle 2 and angle 4 are vertical, so they are also congruent. So, angle 2 is 63. Since angle 1 and 2 form a straight line (180 degrees), you can find angle 1 by subtracting 63 from 180. You get 117. And since 1 and 3 are vertical, 3 is also 117.

8 0
3 years ago
Car a travels 0.5 miles per hour faster than car
Crazy boy [7]
Average speed for car a = 1280 / 16  =  80 mph
Car b travels at 80 - 0.5 = 79.5 mph.

Distance  car b will travel in same time  = 16*79.5 =  1272 miles.
3 0
3 years ago
Read 2 more answers
A local hamburger shop sold a combined total of 380 hamburgers and cheeseburgers on Friday. There were 70 fewer cheeseburgers so
NISA [10]

c= cheesebuger

h= hamburger

h=c+70

c+h=380

c+c+70=380

2c+70=380

2c=310

c=150

h =c+70

h=230

8 0
3 years ago
a 70kg man ascend a flight of stairs of height 4meter in 7secs calculate the power expanded by the man​
Elodia [21]

Answer:

p= mgh/t

= 70×10×4/7=400J/sec

4 0
3 years ago
Macroeconomics is the study of the economy as a whole. A macroeconomic variable is one that measures a characteristic of the who
Svet_ta [14]

Answer:

Check the explanation

Step-by-step explanation:

The multiple coefficient of determination, denoted R2, is the ratio of the sum of squares due to regression to the total sum of squares.

The R2 for the new regression is 63209/121222=0.52 (A), indicating that the new estimated multiple regression equation explains 52% (B) of the variability of digital camera sales.

The sum of squares due to error divided by the total sum of squares is 58013/121222=0.4785=0.48 (B), and 1 minus this ratio is 1-0.48=0.52 (B).

The adjusted multiple coefficient of determination, denoted by R2a, for the new regression is 1-[(1-r^2)(n-1/n-k-1)]=0.45 (C).

The mean square due to error divided by the total mean square is 2072/3788=0.5469=0.55 (A) , and 1 minus this ratio is 1-0.55=0.45 (C).

In general, adding independent variables to a multiple regression model reduces the sum of squares due to error (C). The multiple coefficient of determination increases (C), and the adjusted multiple coefficient of determination could either increase or decrease (C).

Adding the independent variable x4 to the multiple regression model increases (B) the multiple coefficient of determination and increases (A) the adjusted multiple coefficient of determination.

6 0
3 years ago
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