Answer:
0.684
Step-by-step explanation:
According to the scenario, computation of the given data are as follows
Seasonal index = Average value for July ÷ Average over all months
Where, Average value for July = ( 110 + 150 + 130 ) ÷ 3
= 390 ÷ 3 = 130
And, average over all months = 190
So by putting the value in the formula, we get
Seasonal index = 130 ÷ 190
= 0.684211 or 0.684
Hence, approximate seasonal index for July is 0.684.
Y = mx + b
where m is the slope and b is the y-intercept.
1. 2x + 3y = 12
3y = -2x + 12
y = -2x + 4
y-intercept is 4
2. x - 4y = 20
-4y = -x + 20
y = -x - 5
y-intercept is 5
3. y = 2x - 9
this one is easy because it's already in standard form
y-intercept is -9
