Regression analysis of samples collected .pptx

Regression analaysi sThe first direct evidence of linkage came from studies of Thomas Hunt Morgan
Morgan investigated several traits that followed an X-linked pattern of inheritance
Figure 5.3 illustrates an experiment involving three traits
Body color – grey body
Eye color- red eyed
Wing length- normal wings

1. Regression analysis Mahima vishwakarma Y20261014 Department of botant

2. Meaning of regression Regression is the measures of the average relationship between two or more variable in term of original units of the data. And it is also attempts to establish the nature of the relationship between variables that is to study the functional relationship between the variables and thereby provide a mechanism for prediction , or forecasting.

3. Importance of regression analysis Regression analysis helps in important ways : - It provides estimates of values of dependent variables from values of independent variables. It can be extended to two or more variable which is known as multiple regression . It shows the nature of relationship between two or more variables .

4. Dependent variable & independent variable Dependent variables are those which we wish to explain . Independent variable are those which we used to explain dependent variable .

5. Population Linear Regression The population regression model: Population y intercept Dependent Variable Population Slope Coefficient Linear component Independent Variable Random Error term, or residual Random Error component

6. Simple Linear Regression Example • A real estate agent wishes to examine the relationship between the selling price of a home and its size (measured in square feet) • A random sample of 10 houses is selected – Dependent variable (y) = house price in $1000 s – Independent variable (x) = square feet

7. Regression using Microsoft excel

8. Graphical Representation

9. Thankyou