You have performed a linear regression analysis to explore sunflowers’ growth (in meters per month) depending on the watering (in litres per day). You have estimated the regression coefficient to be βˆ = 1.6. What can you conclude? a) There is a significant correlation between watering and growth. b) An average sunflower growths 1.6 meters per month. c) If you give it an additional litre of water per day, there will be an additional average growth of 1.6 meters per month. d) According to the model assumptions, an additional litre of water per day will result in additional 19.2 meters of growth after one year. e) You should consider further influencing quantities.
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.
. You have performed a linear
depending on the watering (in litres per day). You have estimated the regression coefficient to be βˆ = 1.6. What
can you conclude?
a) There is a significant
b) An average sunflower growths 1.6 meters per month.
c) If you give it an additional litre of water per day, there will be an additional average growth of 1.6 meters per
month.
d) According to the model assumptions, an additional litre of water per day will result in additional 19.2 meters
of growth after one year.
e) You should consider further influencing quantities.
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