Multiple linear regression in SPSS

Dependent, independent, exposure, explanatory, predictor, outcome, response variable, statistics, P-value. mean, standard deviation, confidence, interval, normality test, homoscedastic, heteroscedasticity, equal variances, unequal variances, normal curve, statistical method, relationship, Residuals, linear regression, regression line, slope, intercept, regression equation, trend line, correlation coefficient, R squared, r value, ANOVA, t test, , regression, prediction, data, continuous variable, fit regression line, regression model, assumptions, analyse, Descriptive, collinearity, histogram , normal probability plot , output, table, descriptive statistics, correlation coefficient, positive correlation, significant, model summary , variances , slope , significant , statistically significance, value , graph , regression standardised residual, normally distributed , P-P plot, scatter plot, regression standardised residual, standardised predicted value, beta, Pearson’s correlation coefficient, continuous variable, r-value, Cook’s distance, Contribution, explain, variation, linear simple linear regression, one predictor, two predictors, analyse, output, standardised coefficient

[epiminutesbykazi]

Excellent! Very clear and concise. Many thanks, Sir.

[StatisticsTutor]

I have partially prepared videos for MANOVA that I intend to release once I have time for it.

[Yashvishah-vefz]

Thank you for this video. I'm currently doing my dissertation and all of your videos related to the SPSS have helped me a lot. I have one doubt: I have 4 independent variables(Green marketing mix elements) and 1 dependent variable (consumer purchase intention). While performing correlation and regression for all the elements of the green marketing mix and consumer purchase intention together, there is a contradiction for the variable “Green Place” in terms of positive and negative relations. For regression, I followed the "Enter" method.
Green Place with consumer purchase intention: r=0.531, p-value=<0.001
Green Place with consumer purchase intention: B= -0.023, t= -0.321, p-value = 0.748.
Kindly advise what measures shall I take for this scenario as soon as possible sir. is this possible and how shall I justify this? Thank you.

[shazmakanwal]

What type of regression we can use if we have 3 dependent variables and only 1 independent variable???
Kindly guide me its urgent plzzz

[adwoamayyy]

The relationship between X and Y is assumed to be linear so the Xi^2 is not linear ma'am