Answer:
It's 1
Step-by-step explanation:
Answer:
a.) the effect of one independent variable depends on the levels of the second variable
Step-by-step explanation:
In regression, an interaction effect comes to play whenever the effect that an independent variable has on a dependent variable changes, as regards to value(s) of other independent variables( one or more variables). The variables that give interaction effect as a result of interaction with each other is reffered to as "interacting variables" For instance, in a research whereby how "Male gender versus female gender" and their " dieting B and dieting D" influence their " weight loss" There would be interaction effect in a situation where by a " female gender" that operate on " diet B" shed more weight compare with " male gender" that operate on " diet B". It should be noted that two variables are said to interact when the effect of one independent variable depends on the levels of the second variable
Answer:
19/20
Step-by-step explanation:
Probability of blue tile= 9/20
probability of letter b tile= 10/20= 1/2
Probability of blue or letter b= Probability of blue + probability of letter b
= 9/20 + 1/2
= 19/20
Answer:
829
Step-by-step explanation:
Data provided in the question:
margin of error of E = $4
Confidence level = 90%
Standard deviation = $70
Now,
Sample size, n=
for 90% confidence level, z value = 1.645 [from standard z-table]
Therefore,
n =
= 28.7875²
= 828.72 ≈ 829
Hence,
The correct answer is option (D) 829