All categories

4 years ago

Could someone explain linear functions to me? I dont get them at all. Thanks!

Mathematics

1 answer:

BigorU [14]4 years ago

3 0

Answer:

Step-by-step explanation:

Linear functions are whose graph is a straight line. They contain a slope and a constant also known as the y intercept.

Example: y = 3x + 2

The slope is 3 and the y intercept is 2.

You might be interested in

For her graduation, sarah is given 4000 by her parents to put into a savings account, paying 5%, for 4 years, for college. Her g

Ratling [72]

4000x.05x4=
15000x.08=

then the 2 answers you get just add them together

3 0

4 years ago

What is 10 divided by 0.8? Show your work.

Alexus [3.1K]

12.5------------------------------------

5 0

4 years ago

Read 2 more answers

Select the equivalent expression

Troyanec [42]

To my calculations i think it’s c

6 0

3 years ago

A municipal bond service has three rating categories (A, B, and C). Suppose that in the past year, of the municipal bonds issued

11Alexandr11 [23.1K]

Answer:

(a) The probability that the new municipal bond issued will receive an A rating given that it was issued by a city is 0.196.

(b) Thus, the probability of municipal bonds issued by suburbs is 0.325.

Step-by-step explanation:

The data provided is as follows:

P (A) = 0.70

P (B) = 0.20

P (C) = 0.10

P (c | A) = 0.50

P (s | A) = 0.40

P (r | A) = 0.10

P (c | B) = 0.60

P (s | B) = 0.20

P (r | B) = 0.20

P (c | C) = 0.90

P (s | C) = 0.05

P (r | C) = 0.05

(a)

The Bayes' theorem states that the conditional probability of an event <em>Y</em> $_{i}$ given that another event <em>X</em> has already occurred is:

$P(Y|X)=\frac{P(X|Y)P(Y)}{\sum\limits_{i} {P(X|Y_{i})P(Y_{i})}}$

Compute the probability that the new municipal bond issued will receive an A rating given that it was issued by a city as follows:

$P(A|c)=\frac{P(c|A)P(A)}{P(c|A)P(A)+P(c|B)P(B)+P(c|C)P(C)}$

$=\frac{(0.50\times 0.70)}{(0.50\times 0.70)+(0.60\times 0.20)+(0.10\times 0.90)}\\\\=\frac{0.35}{0.56}\\\\=0.196$

Thus, the probability that the new municipal bond issued will receive an A rating given that it was issued by a city is 0.196.

(b)

The law of total probability states that:

$P(X)=\sum\limits_{i} {P(X|Y_{i})}$

Compute the probability of municipal bonds issued by suburbs as follows:

$P(s)=P(s|A)P(A)+P(s|B)P(B)+P(s|C)P(C)$

$=(0.40\times 0.70)+(0.20\times 0.20)+(0.10\times 0.05)\\\\=0.28+0.04+0.005\\\\=0.325$

Thus, the probability of municipal bonds issued by suburbs is 0.325.

3 0

4 years ago

Help i keep getting negative numbers

Aliun [14]

Answer:
Mean Absolute Deviation (MAD): 1.6

5 0

2 years ago