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miv72 [106K]
2 years ago
8

Need help with math pls.

Mathematics
1 answer:
Free_Kalibri [48]2 years ago
4 0

my free fire Id hovohovpfidy and n#susan

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1,5,9,13 generalize the pattern by finding the nth term
ladessa [460]

Answer:

an= a1 +(n-1)*4

Step-by-step explanation:

a1 = 1, a2 =5, a3 = 9, a4= 13,... an= ?

we see that each term is getting bigger so usually that will happen because of addition or multiplication-in our case add 4 to previous term

a1 = 1,

a2 = a1+(2-1) 4 = 1+4 = 5,

a3 = a1 + (3-1)*4 = a1+8 = 1 + 8 = 9,

a4= a1 + (4-1)*4 = a1 + 12 = 1+12= 13,

...

an= a1 +(n-1)*4

7 0
2 years ago
A soccer league has 180 players. Of those players 50% are boys. How many boys are in the soccer league?
yarga [219]

Answer:

90 boys

Step-by-step explanation:

There are 180 players

Multiply by the percent that are boys to find the number of boys

180 * 50%

180 * .50

90

6 0
3 years ago
Read 2 more answers
Yoo i need help !!! its math and i havent learned it yet
BlackZzzverrR [31]

Answer:

{f}^{ - 1} (x) = 9x + 18

Step-by-step explanation:

f(x) =  \frac{1}{9}x - 2

y = \frac{1}{9} x - 2

x =  \frac{1}{9}y - 2

x + 2 =  \frac{1}{9}y

9x + 18 = y

{f}^{ - 1} (x) = 9x + 18

4 0
3 years ago
Read 2 more answers
A set of bivariate data was used to create a least squares regression line. Which of the following is minimized by the line
77julia77 [94]

Answer:

B) The sum of the squared residuals

Step-by-step explanation:

Least Square Regression Line is drawn through a bivariate data(Data in two variables) plotted on a graph to explain the relation between the explanatory variable(x) and the response variable(y).

Not all the points will lie on the Least Square Regression Line in all cases. Some points will be above line and some points will be below the line. The vertical distance between the points and the line is known as residual. Since, some points are above the line and some are below, the sum of residuals is always zero for a Least Square Regression Line.

Since, we want to minimize the overall error(residual) so that our line is as close to the points as possible, considering the sum of residuals wont be helpful as it will always be zero. So we square the residuals first and them sum them. This always gives a positive value. The Least Square Regression Line minimizes this sum of residuals and the result is a line of Best Fit for the bivariate data.

Therefore, option B gives the correct answer.

5 0
2 years ago
Read 2 more answers
GUY PLEASE HELP ME FAST, NO LINK PLS. QUESTION IS DUE ASAP
Alekssandra [29.7K]

Answer:

yes it is!!

Step-by-step explanation:

every input goes to an output

5 0
2 years ago
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