Answer:
Squared differences between actual and predicted y
Step-by-step explanation:
The least squares regression method used in predictive modeling for linear regression models produces a best fit line which will minimize the square of the mean difference between the actual and projected or predicted values of the dependent, y variable. Hence, the when the sum of the squared value of the difference between the actual and predicted values (residual) are taken, the fit which gives the minimum sum of squared value is the best fit line upon which the estimated regression equation is based.
Alright this is gonna be a long one
Lets called child tickets x and adult tickets y
so x + y should be equal to 159 since they said that the total sum of the tickets is 159
so thats your first equation : x + y = 159
next form an equation using the prices,
5.40x + 8.70y = 1079.70
now that you have your two equations, just substitute the first into the second (you could either substitute for x or y by saying x = 159-y or that y=159-x)
Hope this helps.
Answer:
View Image. The red one is the answer
Step-by-step explanation:
Your first goal is to solve for x.
Once you have the inequality for x alone, graph both of it.
Only keep the parts where both inequality overlap each others.
Answer:
1:4
Step-by-step explanation:
If 8/10 prefer Crest, that means 2/10 don't prefer it.
To find the ratio, put together the number that don't prefer it to the number that does:
2:8
Simplify by dividing each side by 2:
1:4
So, the ratio is 1:4
