Answer:
<em>The residual value when x=2 is </em><em>-1</em>
Step-by-step explanation:
The difference between the observed value of the dependent variable and the predicted value is called the residual (e). Every data point has one residual. Lesser the residual value, better the best fit line is.
Mathematically,
Here from the graph,
the observed value is 2, so y=1
the predicted value is 0.5(2)+1 = 1+1 = 2, so
Putting the values,
Answer:
The number of pounds of bananas sold are <u>50</u> and the number of pounds of raspberries sold are <u>37</u>.
Step-by-step explanation:
Given:
Charlotte runs a farm stand that sells bananas and raspberries.
Each pound of bananas sells for $3.25 and each pound of raspberries sells for $1.75.
Charlotte sold 13 more pounds of bananas than pounds of raspberries and made $227.25 altogether.
Now, tot find the number of pounds of bananas sold and the number of pounds of raspberries sold.
Let the number of pounds of raspberries be
Let the number of pounds of bananas be
Selling price of each pound of raspberries = $1.75.
Selling price of each bananas = $3.25.
Total price of bananas and raspberries sold = $227.25.
Now, we put an equation to get the number of pounds of bananas sold and the number of pounds of raspberries sold:
<em>Subtracting both sides by 42.25 we get:</em>
<em /><em />
<em>Dividing both sides by 5 we get:</em>
<u>The number of pounds of raspberries = 37 pounds.</u>
Substituting the value of :
<u>The number of pounds of bananas = 50.</u>
Therefore, the number of pounds of bananas sold are 50 and the number of pounds of raspberries sold are 37.