50 in the tens place, 8 in the ones
Answer:
first answer
Step-by-step explanation:
the first symbols mean : congruent.
the second symbols mean : parallel.
therefore answer option 1 is the direct translation of "if opposite sides of a quadrilateral are congruent, then it is a parallelogram" (= each of the 2 pairs of opposite sides consists of parallel sides).
Answer:
Option A Gender and garlic preference.
Step-by-step explanation:
We have been given Charmaine made traditional pizzas for her classmates. She recorded whether the students wanted garlic on their pizza.
For two-way table we need two Data
So, gender and garlic preference is sufficient to form two-way table
She will use gender in first row and garlic preference in first column.
Gender Garlic preference
Male here male who needs garlic
Female here female who need garlic.
Therefore, option A is correct.
Angles 4 and 6 are called Alternate Exterior Angles
Step-by-step explanation:
Alternate Exterior Angles are a pair of angles on the outer side of the each of two lines but on opposite sides of the transversal.
When we take two parallel lines they will create 8 angles, such as 1,2,3,4,5,6,7 & 8.
In that angle 6 is 65 degrees.
Angles 1,2,3 & $ are in one line and remaining four angles on other line.
So Angles 4 and 6 are alternate exterior angles.
The assumptions of a regression model can be evaluated by plotting and analyzing the error terms.
Important assumptions in regression model analysis are
- There should be a linear and additive relationship between dependent (response) variable and independent (predictor) variable(s).
- There should be no correlation between the residual (error) terms. Absence of this phenomenon is known as auto correlation.
- The independent variables should not be correlated. Absence of this phenomenon is known as multi col-linearity.
- The error terms must have constant variance. This phenomenon is known as homoskedasticity. The presence of non-constant variance is referred to heteroskedasticity.
- The error terms must be normally distributed.
Hence we can conclude that the assumptions of a regression model can be evaluated by plotting and analyzing the error terms.
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