Answer:
(x + 5)(x + 4)
Step-by-step explanation:
Answer:
Step-by-step explanation:
The main difference between an ogive and a frequency polygon is - An ogive is a plot of cumulative values while a frequency polygon is a plot of the values themselves. An ogive is also called the cumulative frequency graph. It is a curve which shows the cumulative frequency of a given set of data.
R + d = 1750
r = d + 450
d + 450 + d = 1750
2d + 450 = 1750
2d = 1750 - 450
2d = 1300
d = 1300/2
d = 650 <=== what Dustin pays
r = d + 450
r = 650 + 450
r = 1100 ...Robert pays 1100
Answer:
1) a) yes
b) no
c) a² - 39
(a)² - (sqrt(39))²
(a - sqrt(39))(a + sqrt(39))
This quadratic can be split into real factors, but not rational
sqrt(39) is a real number, but not rational
2) real
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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