Please help create data SPSS table for the following results of the multivariate regression analysis:

• TVHOURS is the number of hours a person watches television per day
• AGE is the person's age
• SEX is the person's gender (1 = male, 0 = female)
• EDUC is the person's educational attainment (1 = less than high school, 2 = high school graduate, 3 = some college, 4 = college graduate, 5 = post-graduate degree)

The R-squared value for the model is 0.20, which indicates that the model explains 20%

• The project used multivariate regression to examine the relationship between the number of hours a person watches television per day (TVHOURS) and their age (AGE), gender (SEX), and educational attainment (EDUC).
• The data for the project was from the 2018 General Social Survey (GSS).
• The results of the project showed that all three independent variables were significant predictors of TVHOURS.
• Older people (AGE) watched more television than younger people.
• Men (SEX) watched more television than women.
• People with lower levels of educational attainment (EDUC) watched more television than people with higher levels of educational attainment.
• The following is the regression equation for the model:

TVHOURS = 1.23 + 0.02 * AGE + 0.36 * SEX + -0.13 * EDUC

where:

• TVHOURS is the number of hours a person watches television per day
• AGE is the person's age
• SEX is the person's gender (1 = male, 0 = female)
• EDUC is the person's educational attainment (1 = less than high school, 2 = high school graduate, 3 = some college, 4 = college graduate, 5 = post-graduate degree)
• The R-squared value for the model is 0.20, which indicates that the model explains 20% of the variance in the number of hours a person watches television per day. This is a relatively weak R-squared value, but it is still significant.

With the information above please help create a data table.