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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The value of x is X=-y over 3 +1
Answer:
-2
Step-by-step explanation:
<em>Since,</em>
<em>it given that</em>
<em>x = -3</em>
<em>y = 4</em>
<em>and the equation is:</em>
<em>2x + y = ?</em>
<em />
<em>Thus we can substitute:</em>
<em>2(-3) + 4 = ?</em>
<em>-6 + 4 = -2</em>
<em>Hence,</em>
<em>? = -2</em>
<em />
<em />
<u><em>Kavinsky</em></u>
Answer:
She used 1/8 or 12.5% more flour than sugar
Step-by-step explanation:
flour: 5/8
sugar: 1/2 = 4/8
0.125 = 12.5%
