Q2. Below are the commodity data. Determine (a) Laspeyer's price index and Laspeyer's quantity index. (b) Paasche's price index and Paasche's quantity index. (c) Fisher's ideal index (both Price and Quantity) January 2020 Price (S) January 2020 Quantity 2 3 Jar Commodity Toothpaste Shampoo Cough tablets Pri 4.4 6.2 5.6 5.49 4.29 3.79 4
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.
Data:
25
2
7
1
21
7
21
27
27
8
21
28
4
26
23
10
17
20
27
21
14
22
14
9
3
8
19
27
6
20
9
11
4
9
10
25
19
8
4
7
10
16
13
6
14
13
21
14
1
23
Name: HAMZA ALI ZEGAM
Registration no: MS120192034
![Below are the commodity data. Determine
(a) Laspeyer's price index and Laspeyer's quantity index.
(b) Paasche's price index and Paasche's quantity index.
(c) Fisher's ideal index (both Price and Quantity)
January 2020
Price (S)
Q2.
January 2020
Quantity
January 2021
Price (S)
4.45
January 2021
Quantity
Commodity
Toothpaste
Shampoo
Cough tablets
Antiperspirant
5.49
2
3
4.29
3
6.29
3.79
4
5.67
4
4.29
4.89](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F73b88bb0-7d64-4a0b-8462-ec4405bd1dbb%2F506b3f29-4e83-4177-8200-91886b0e29f6%2Fnua23t_processed.jpeg&w=3840&q=75)
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