Last week kellie ran 28 miles. This week she ran 32 miles. What is the perecent of change in the number she ran?
2 answers:
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Answer:
Step-by-step explanation:
Data Given: m = 70 kg , g = 9.8 ms^-2, h =10m.
For this case we can use the following formula:
For this case we need to find an expression for the force in terms of the distance. And since on this case the total distance is 10 m long we can write the expression like this:
The only acceleration on this case is the gravity and if we replace the values given we got:
Now we can find the required work with the following integral:
Given :
Casey's company charges , C = $300.
In summer special, Casey offers customers a trade discount of 25%.
To Find :
Charges during summer.
Solution :
Let, x is the amount of charges they take during summer.
Casey offers customers a trade discount of 25%.
Therefore, amount of charges during summers are $225.
Hence, this is the required solution.
Answer:
The residual age of a lion whose nose is 11% black and is 1.9 years old is -0.15.
Step-by-step explanation:
In regression, the difference between the observed value of the dependent variable (<em>y</em>) and the predicted value () is known as the residual (<em>e</em>).
The least square regression line is used to predict the value of the response or dependent variable (<em>y</em>) from the known value of the explanatory or independent variable (<em>x</em>).
The general form of a least square regression line is:
The equation of the least squares regression line to predict the relationship between age (in years) and proportion of blackness in the lion’s nose is:
Compute the predicted value of <em>y</em> for <em>x</em> = 0.11 as follows:
The predicted value of <em>y</em> is, .
The observed value of the age of lion whose nose is 11% black is, <em>y</em> = 1.90.
Compute the residual age of this lion as follows:
Thus, the residual age of a lion whose nose is 11% black and is 1.9 years old is -0.15.