Answer:
0.33
Step-by-step explanation:
To solve this example we use this rule :
Δx/Δy
x is amount that changed. so Δx=0,99.
How we get 0.99.
Our storm is to 3 to 6 so we find difference for x : for 3rd and 6th member of table... 3.88-2.89=0.99
Now we have :
0.99/Δy
Because we need to find from 3 to 6 , Δy=3 ,
When we find both, we can find rate of change with :
0.99/3=0.33
Point-slope form
y -24 = -4/5(x -0)
Find x when y is 0 (X-intercept)
0 -24 = -4/5(x -0)
-24 = -4/5x
x = -120/-4
x = 30
Answer: A. 30 minutes
Answer:
NO
Step-by-step explanation:
If the bank account has a fee of $2 per month, it means that at the end of the year you will have $500 - $2 × 12 = 476.
If it pays 2% per year, then, at the end of the year you will receive: $476×0.02 = $9.52.
If you go ahead you will lose money ($14,48) . In order to earn money, you need to put more money.
First we have to find the vertex (h,k) h is also x and it also is the a xis symmetry
1st: group the number
(X2+6x)-9
2nd: use b/2
6/2 = 3 , 3^2= 9
(X2+6x+9)-9-9
(X2 + 3)-18
Vertex is 3,-18 so the symmetry is 3
The modified r squared tells us more about the relationship among sales, price, as well as advertising by explaining approximately 60% of a variance in sales.
<h3>Define the term adjusted r squared?</h3>
R-squared (R2) would be a statistical measure that quantifies the proportion of the variation explained from an independent variable other variables within a regression model for a dependent variable.
- R-squared describes how much the variance with one variable describes the variance of the other.
- So, if a model's R2 is 0.50, the model's inputs can explain roughly half of a observed variation.
- A score of 70 to 100 shows that a specific portfolio closely reflects the underlying stock index, whereas a score of 0 to 40 indicates a relatively poor correlation the with index.
- Higher R-squared scores also suggest that beta measurements are more reliable. The volatility of either a security or portfolio is measured by beta.
Thus, the modified r squared tells us more about the relationship among sales, price, as well as advertising by explaining approximately 60% of a variance in sales.
To know more about the adjusted r squared, here
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