Sorry I have to go to baseball bye
Answer:
F.
Explanation:
The number of quarts of cream Type A is x.
Type A cream has 18% butterfat, so the amount butterfat will be 0.18x
For type B, we know that the total amount of cream will be 90, so if cream type A is x, cream type B is 90 - x.
Type B crem has 24% butterfat, so teh amount in the mixture will be 0.24(90-x)
Then, the mixture will be 90 quarts of crean that is 22% butterfat, so the amount in the mixture will be 0.22(90)
Therefore, the table that represent this data is table F.
So, the answer is F.
Answer:
X multiplied by 25 subtract 3
(Sorry this is put in words)
Step-by-step explanation:
Answer:
116 miles
Step-by-step explanation:
We can solve this by first writing an equation for the cost of the car rental. To begin, the base cost is $17.95, so any further costs must be added to that. Next, the car costs 19 cents (0.19 dollars) for each mile driven, so for each mile, we add 19 cents. This can be written as 0.19 *x if x represents the amount of miles driven. Therefore, we can add the two input costs of the car (the base cost and cost per mile) to get
17.95 + 0.19 * x = total cost.
After that, we want to maximize x/the number of miles with only 40 dollars. We can do this by setting this equal to the total cost, as going over the total cost is impossible and going under would be limiting the amount of miles (this because we are adding money for each mile, so more money means more miles). Therefore, we have
17.95 + 0.19 * x = 40
subtract 17.95 from both sides to isolate the x and its coefficient
22.05 = 0.19 * x
divide both sides by 0.19 to isolate x
22.05/0.19 = x = 116.05
The question asked us to round down, and 116.05 rounded down is 116 for our answer
The regression line will be y = 20.64 - 0.3038x.
<h3>How to explain the regression?</h3>
It should be noted that regression is a statistical method that determine the relationship between the variables.
Here, the regression line will be y = 20.64 - 0.3038x. The slope coefficient is -0.03038 and the intercept is 20.460.
The slope coefficient defines that for a unit increase in the percentage of vacancy rate will reduce 0.3038 unit of monthly office rent.
Learn more about regression on:
brainly.com/question/25987747
#SPJ1
