Solve for the y-intercept and the slope. Form the equation of the regression line that describes the relationship between the two variables. Predict the profit of the fashion boutique business when the store measures 3,800 square feet. Explain the result.
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.
- Solve for the y-intercept and the slope.
- Form the equation of the regression line that describes the relationship between the two variables.
- Predict the profit of the fashion boutique business when the store measures 3,800 square feet. Explain the result.
![x2
y
20
y2
400
xy
700
35
1225
22
15
484
225
330
27
17
729
289
459
16
256
81
144
16
448
256
49
28
784
12
144
84
40
22
1600
484
880
529
Σ2313
32
23
1024
736
Ex = 212
ΣΥ- 129
Σχ26246
Σν= 3781
(8x3781)-(212x129)
[(8×6246)–(212)*][(8×2313)–(129)*]
2900
5024×1863
=0. 948](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faadcbf27-cb16-4d8b-a047-f5a950b11c13%2Ff2fbc4b1-a04b-4ccb-b19d-ae438309f23e%2Fwqvgoo4_processed.jpeg&w=3840&q=75)
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