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.
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Answer:6.5×10^2
Step-by-step explanation:
Answer:
5 1/3
Step-by-step explanation:
f(1/2) means the value of f(x) when x = 1/2.
So we substitute for x:-
f(1/2) = 2/3(1/2) + 5
= 2/6 + 5
= 5 1/3 (answer)
I believe you just distribute it so, multiply each one in the parenthesis (2v+3)
6vx2v=12v
6v x 3= 18v
so it becomes 12v+18v
then add 12 + 18 I think
