In anova, by dividing the mean square between groups by the mean square within groups, a(n) Analysis of variance statistic is computed.
What is Analysis of variance ?
- With the help of the statistical analysis approach known as ANOVA, apparent aggregate variability within a data set is explained by separating systematic components from random factors.
- Systematic influences, but not random ones, statistically affect the data set that is being presented.
What are some instances where ANOVA has been applied?
- An ANOVA demonstrates the link between the dependent variable and the level of the independent variable.
- For illustration: In order to determine whether there is a difference in the number of hours of sleep each night as your independent variable, you divide the groups into low, medium, and high social media use categories.
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Answer:
2/3 or 0.67
Step-by-step explanation:
Slope = y2 - y1 /x2 - x1
Given
x1 = 1
y1 = 8
x2 = 9
y2 = 12
Slope = 12 - 8 /9 - 1
= 4/6
Reduce is by 2
2/3
Or
0.67
Answer:
y = 4x - 1
Step-by-step explanation:
the equation of a line in slope- intercept form is
y = mx + c ( m is the slope and c the y-intercept )
rearrange 4x - y = 1 into this form
add y to both sides
4x = y + 1 ( subtract 1 from both sides )
4x - 1 = y
y = 4x - 1 ← in slope-intercept form
Answer:
Not true.
Step-by-step explanation:
Whole numbers are integers that are 0 or greater than 0. Since 0 is a whole number and x > 0 does not include 0, the statement is not true. Only the sign ≥ includes 0.
