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Luden [163]
2 years ago
7

I need help plz and thank you I am time

Mathematics
2 answers:
GarryVolchara [31]2 years ago
6 0
I have no clue I’m sorry that
kipiarov [429]2 years ago
3 0

Answer:

For Q15

1- 48.75 as angles on a straight line

2-111.5 as angles on a straight line

3- 62.75 as angles of a triangle add up to 180

4- 117.25 as angles on a straight line

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What type of line is PQ?<br> A. altitude<br> B. angle bisector<br> C. side bisector<br> D. median
frosja888 [35]

Answer:

altitude

hope that helps ✌

8 0
3 years ago
Read 2 more answers
Help! question in photo.
IRISSAK [1]

Answer:

B

Step-by-step explanation:

negative 6 times negative 6 equals 36

8 0
2 years ago
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Find the GCF of each pair of Monomials: 36k and 144k ​
kari74 [83]

Answer:

36k

Step-by-step explanation:

36k = 2² × 3² × k

144k = 2^4 × 3² × k

GCF = 2² × 3² × k

GFC = 36k

6 0
2 years ago
PLZ HELP ME ITS DUE BY TONIGHT AND I WILL FAIL IF ITS NOT FINISHED!! I NEED HELP WITH 5
mars1129 [50]

Answer:

3. 25

4. 22,31,46

5. One reason beth might not want to join is because she would be the oldest person in the club. according to the stem and leaf chart the oldest person currently in the class is 55 and the next few down are all in their 40s.

Step-by-step explanation:

question 3 is 25 because the median is the middle number, which in this case is 25. question 4 you got correct but there are multiple modes for this set of data being 22,31,46 because all of these numbers tie with 2 of them being repeated throughout the table. question 5 just shows that beth would be the oldest in the club by a marginal number too so that is why beth might not want to join the club.

6 0
2 years ago
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A bivariate data set has x = 21, sx = 13, y = 55, sy = 27, and r = .88. What is the equation for the regression line of y on x?
earnstyle [38]

Answer:

c) y=16.57+1.83x

Step-by-step explanation:

Equation for regression line of y on x is given as

\hat{y}=mx+b --- (1)

where

\hat{y} = predicted value

m = slope of line

b = intercept

m and b are found as

m=r\frac{S_{y}}{S_{x}}---(2)\\\\b=\bar{y}-m\bar{x}---(3)

r = correlation coefficient = 0.88

Sx = standard deviation for independent variable x = 13

Sy = standard deviation for dependent variable y = 27

\bar{x} = mean value of independent variable x = 21

\bar{x} = mean value of dependent variable y = 55

Substituting these values in (2) and (3)

m=r\frac{S_{y}}{S_{x}}\\\\m=(0.88)\frac{27}{13}\\\\m=1.83

b=\bar{y}-m\bar{x}\\\\b=55-(1.827)(21)\\\\b=16.57

Putting these values of m and b in (1)

y=1.83x+16.57

5 0
2 years ago
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