Answer:
Question 1
<u>Given</u>
<u>Use formula and solve for x:</u>
- SP = CP + P
- 144 = x + (20% of x)
- 144 = x + 0.2x
- 144 = 1.2x
- x = 144/1.2
- x = 120
Cost price is N 120
Question 2
<u>Given</u>
- SP = 1000
- P = -20% (negative because of loss)
- CP = x
<u>Use formula and solve for x:</u>
- SP = CP + P
- 10000 = x - (20% of x)
- 10000 = x - 0.2x
- 10000 = 0.8x
- x = 10000/0.8
- x = 12500
Cost is N 12500
Check the picture below.
what about the angle atop? well, is just 180 - 90 - A.
Answer:
It's the exact same 3/5 is just the reduced version of 6/10
Answer:
See explaination
Step-by-step explanation:
See attachment for diagram
The r value is 0.373 (low). This implies a weak correlation between the dependent and independent variables for this sample.
The overall p- value for the regression model is 0.0017. This implies that at least one of the two independent variables (x1 or x2) in the model is significant predictor of the dependent variable y.
p- values for the both "Fact" and "Star" are < 0.05. This means both the independent variables are significant predictors of the "Rating" at 95% confidence level. The variable "Fact" is significant at 99% level of confidence also. This means the rating viewers award to a movie depends upon both the storyline (fact or Fiction) and the presence or absence of stars.
Expected rating for a fact based movie with no stars = 1.7991(1) + 1.2586(0) + 12.5685 = 14.37
Expected rating for a fiction based movie with a star = 1.7991(0) + 1.2586(1) + 12.5685 = 13.83
So, one may expect a fact based movie without any stars to get better ratings than a fiction based movie with one star.