Adnan is the branch manager at a local insurance company. Recently, Adnan’s been receiving customer feedback saying that the wait times for a client to be served by a customer service representative are too long. Adnan decides to observe and write down the time spent by each customer on waiting. Here are his findings from observing and writing down the wait times spent by 42 customers: 43.1 43.5 42.2 54.1 40.4 42.1 31.1 31.4 45.1 35.6 40.3 45.5 45.6 36.3 45.3 32.3 40.2 43.4 37.6 50.2 30.3 36.5 50.1 30.2 32.4 37.5 36.5 47.3 31.4 43.1 47.2 31.3 47.1 43.2 45.3 31.2 45.2 30.2 31.6 45.1 32.6 54.2
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Adnan is the branch manager at a local insurance company. Recently, Adnan’s been receiving customer feedback saying that the wait times for a client to be served by a customer service representative are too long. Adnan decides to observe and write down the time spent by each customer on waiting. Here are his findings from observing and writing down the wait times spent by 42 customers:
|
43.1 |
43.5 |
42.2 |
54.1 |
40.4 |
42.1 |
31.1 |
31.4 |
45.1 |
|
35.6 |
40.3 |
45.5 |
45.6 |
36.3 |
45.3 |
32.3 |
40.2 |
43.4 |
|
37.6 |
50.2 |
30.3 |
36.5 |
50.1 |
30.2 |
32.4 |
37.5 |
|
|
36.5 |
47.3 |
31.4 |
43.1 |
47.2 |
31.3 |
47.1 |
43.2 |
|
|
45.3 |
31.2 |
45.2 |
30.2 |
31.6 |
45.1 |
32.6 |
54.2 |
|
Now create the following graphs for this dataset:
- Histogram
- FrequencyPolygon
- Ogive
- Stem-and-Leaf
- Barplot
It does not matter if you can’t get the same class limits as with the answers (R by default is displaying in pretty format), as long as the H (highest data value) is there.
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