<u>Answer:</u>
In second week there is percentage decrease (-ve sign) of 20% in people visiting compare to first week.
In third week there is percentage increase of 50% in people visiting compare to second week.
In fourth week there is percentage decrease of 75% in people visiting compare to third week.
<u>Solution:</u>
Need to determine percentage change in the number of people who went to amusement park for each week in august.
Given that,
In first week of august number of people went to amusement park let say
= 1060
In second week of august number of people went to amusement park let say
= 848
In third week of august number of people went to amusement park let say
= 1272
And in fourth week of august number of people went to amusement park let say
= 318
<u><em>Percentage change from first week to second week is as follows</em></u>


So in second week there is percentage decrease (-ve sigh) of 20% in people visiting compare to first week.
<u><em>Percentage change from second week to third week is as follows
</em></u>

So in third week there is percentage increase of 50% in people visiting compare to second week
<u><em>Percentage change from third week to fourth week is as follows
</em></u>

So in fourth week there is percentage decrease of 75% in people visiting compare to third week
Answer:
The enlargement will be 30 ft by 7.5 ft.
Step-by-step explanation:
A scale drawing is a larger or smaller version of an object. To find the dimensions of the new drawing, multiply each measurement by the scale factor. The scale factor here is 5/2 or 2.5.
12(2.5)=30 ft
3(2.5)=7.5 ft
If a submarine is 756 feet below sea level in order to come to 0 sea level it will have to rise as much as it dropped which is 756 feet.
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.
Answer:
no 146.5 > 145
Step-by-step explanation: