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To emphasize the importance of carefully studying the textbook content before the exam (referred to as "regressing to the textbook") on the math scores of the college entrance examination, after the 2016 college entrance examination, a certain class set the math score above 115 points (including 115 points) as excellent and made the following table:

| Math Score | Regressed to Textbook | Non-Excellent Students | Excellent Students | Total |
|------------|-----------------------|------------------------|--------------------|-------|
| Not Regressed to Textbook | 8 | 2 | 10 |
| Regressed to Textbook | 2 | 18 | 20 |
| Total | 10 | 20 | 30 |

$(Ⅰ)$ Can we be $99\%$ sure that excellent math scores in the college entrance examination are related to regressing to the textbook?

$(Ⅱ)$ Using the data of this class as a sample to estimate the overall population data of the city, randomly select 3 students from the students who took the college entrance examination in the city in 2016. Let $X$ be the number of students among the 3 who have excellent math scores and regressed to the textbook. Find the distribution table and mathematical expectation of $X$.

Given: ${χ}^{2}=\frac{n{({n}_{11}{n}_{22}-{n}_{12}{n}_{21})}^{2}}{{n}_{1+}{n}_{2+}{n}_{+1}{n}_{+2}}$,

| $P(\chi ^{2}\geqslant k)$ | $0.050$ | $0.010$ |
|---------------------------|---------|---------|
| $k$                       | $3.841$ | $6.635$ |

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