decided to indulge the statistician in her and collect some data on her strawberry plant. She knows, from previous years, that her plant should yield around 50 strawberries by the end of the growing season. Each day she records the height of the plant (in cm), if it was a sunny day or not, counts the number of strawberries she sees and how much water the plant had (in millilitres) - this includes rain water and water from her watering can. After 60 days she has a look at her data in R and produces the following plot as well as some summary statistics, where x denotes the water given to the plant per day and y the height of the plant on each day. n n xi = 5031.27 > Yi = 901.87 x? = 497572.60 %3D i=1 i=1 i=1 n Evi = 13749.33 2xiyi = 75696.77 i=1 i=1 Strawberry Data 17.5- 15.0- 12.5- 10.0- 50 100 150 Water (ml) Height (cm)
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.
1. for each of the variables paige has recorded describe what type of data she has for each
2.what type of plot has paige produced? Comment on the initial impressions you gather from this plot.
3.calculate the
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