Answer:
Step-by-step explanation:
Hello!
The objective of this experiment is to assess the service customers receive at the dealerships.
1) The population in this survey is:
The population is the customers of car dealerships.
2) The sample in this survey is:
The random sample taken was 20 selected car dealerships, where the customers were surveyed.
3) A parameter that may be targeted by the survey is:
To study the service the customers receive at the dealerships and if it has any influence in the customers owning or not a car of the company, one parameter to study is the population proportion of customers that own a car of the company vs the proportion of customers that are satisfied with the service received.
4) A statistic that may be used to summarize the outcome of the survey is:
The statistic to use to summarize the outcome of the survey is the sample proportion.
I hope it helps!
24 is what percent of 49? The answer to that is 48.98.
Answer:
1. The change per week is $40 as it is the coefficient.
2. The starting amount is $550 as it is the constant.
Answer:
The answer is B - A high correlation between two or more independent variables.
Step-by-step explanation:
There are many factors that shows the possible presence of multicollinearity in a regression analysis. Multicollinearity occurs when independent variables in a regresssion model are correlated; the independent variables as their names implies is to be fully independent (on their own).
Based on the options; multicollinearity occurs when there is a high correlation between two or more independent variables.
