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svp [43]
4 years ago
5

A corner store sells two kinds of baked goods: cakes and pies. A cake costs $10 and a pie costs $7. In one

Mathematics
1 answer:
Ede4ka [16]4 years ago
7 0
I think the answer would be 4 cakes because they would have bought 6 pies for it to cost $42 and then the extra $40 which will be converted to 4 cakes. So the answer is 4. Hope I helped. 
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How do I know which one is complementary?
RUDIKE [14]
Complementary angles are 90 degrees
Supplementary angles are 180 degrees.

you add two angles and they have to equal either 90 or 180 in order to be complementary or supplementary.

the answer is B because <SXT is 25 and <TXU is 65. when you add those two, the answer is 90.
4 0
3 years ago
Please help me:(:(:(:(
motikmotik

Answer:

1. 30/14

2. -26.775

3. 0.1668

4. -44/7 which can be simplified into -6 and -2/7

5. $10.96

5 0
3 years ago
The bar chart shows all the eye colours of students in a class. What fraction of the students have blue eyes? Give your answer i
Burka [1]

Answer:

1/29

Step-by-step explanation:

There are 29 students in total, and the students with blue eyes is only 1.

The fraction would be 1/29 and this is its simplest form.

5 0
3 years ago
A takeaway sells 10-inch pizzas and 12-inch pizzas.
N76 [4]

Answer:

532.52

Step-by-step explanation:

P 2(10-inch pizza)=407*3.72-358*0.49=1514.04-175.42=1339.62

P2(12-inch pizza)=169*5.26-142*0.04=888.94-5.68=883.26

P=1339.62+883.26=2222.88

2222.88-1690.36=532.52

5 0
3 years ago
You are given the following data, where X1 (final percentage in history class) and X2 (number of absences) are used to predict Y
vaieri [72.5K]

Answer:

Step-by-step explanation:

Hello!

Given the variables

Y: standardized history test score in third grade.

X₁: final percentage in history class.

X₂: number of absences per student.

<em>Determine the following multiple regression values.</em>

I've estimated the multiple regression equation using statistics software:

^Y= a + b₁X₁ + b₂X₂

a= 118.68

b₁= 3.61

b₂= -3.61

^Y= 118.68 + 3.61X₁ - 3.61X₂

ANOVA Regression model:

Sum of Square:

SS regression: 25653.86

SS Total: 36819.23

F-ratio: 11.49

p-value: 0.0026

Se²= MMError= 1116.54

Hypothesis for the number of absences:

H₀: β₂=0

H₁: β₂≠0

Assuming α:0.05

p-value: 0.4645

The p-value is greater than the significance level, the decision is to not reject the null hypothesis. Then at 5% significance level, there is no evidence to reject the null hypothesis. You can conclude that there is no modification of the test score every time the number of absences increases one unit.

I hope this helps!

5 0
4 years ago
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