Still about the model considered in the previous Question:

The OLS estimates were computed with the sample: 

Based only on this analysis what would your conclusions be, regarding the impact of Age in WP, using any common level of significance ?

Check this new model

The OLS estimates were computed with the sample

The ε assumptions were checked and seem to be met. 

If you consider α=0.01 there is a contradiction between the conclusion regarding Ho:R²=0 and Ho:β_i=0.

What would you do next to clarify this contradiction ?

I would run

NetfilxU was added to the previous model:

Using the same sample (n=22), these OLS estimates were computed 

What are your conclusions using a 0.10 level of significance ?

This model

was estimated:

It seems to be true that, if α=0.10,

The coefficient of correlation between WP and Income, computed with the sample (n=22), is 0.436

Is this model

Still about this model 

A new Contingency Analysis was run with a smaller sample

what would your conclusion be with α=0.10 ?

Another sample (regarding 24 students), was considered to run the same test, with the same variables. The test statistic value was computed and the corresponding p-value was found to be 0.05.

The expected number of young students using Netflix more than 10 hours per week (if Ho is true) is