Answer:
0.44
Step-by-step explanation:
2/3 - 2/9 = 0.44
1. 35x + 0.15y
=3500x + 15y [multiplying the equation by 100]
= 700x + 3y [dividing the equation by 5]
2. Let x be an even integer
x + (x+2) + (x+2+2)
x+x+2+x+4
3x+6
3. 1/5*(r+7) - 9s
(r+7)/5 - 9s
4. x=cows
y= goats + sheep
x= (y+140)/2
The first choice,
... a. s(t) = ac[1 + μam cos (2πfmt)] cos (2πfct)
has the carrier frequency cos(2πfct) amplitude modulated by the message signal.
The other expressions represent frequency and phase modulation of various kinds.
<span>ab + bc + b</span>²<span> + ac =
(b</span>² + bc<span>)+(ab + ac) =
b(b+ c)+a(b + с) =
(b + c)(b + a)</span>
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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