|Design Resources Server||
following data was collected through a pilot sample survey
on Hybrid Jowar crop on yield and biometrical characters.
The biometrical characters were average Plant Population
(PP), average Plant Height (PH), average Number of Green
Leaves (NGL) and Yield (kg/plot).
correlation coefficient between each pair of the variables
PP, PH, NGL and yield.
partial correlation between NGL and yield after removing the
linear effect of PP and PH.
a scatter plot of the variable PP.
a multiple linear regression equation by taking yield as
dependent variable and biometrical characters as explanatory
variables. Print the matrices used in the regression
the significance of the regression coefficients and also
equality of regression coefficients of (a) PP and PH (b) PH
the predicted values corresponding to each observation in
the data set.
for the linear relationship among the biometrical
characters, i.e., multi-colinearity in the data.
the multiple linear regression model without intercept.
|Tests of Significance|
|Correlation and Regression|
|Completely Randomised Design|
|Incomplete Block Design|
|Resolvable Block Design|
|Latin Square Design|
|Factorial RCB Design|
|Partially Confounded Design|
|Factorial Experiment with Extra Treatments|
|Split Plot Design|
|Strip Plot Design|
|Response Surface Design|
|Cross Over Design|
|Analysis of Covariance|
|Diagnostics and Remedial Measures|
|Principal Component Analysis|
|Groups of Experiments|
exposure on SAS, SPSS,
available at Design Resources Server (www.iasri.res.in/design)