## # A tibble: 7 x 7
## titleId seasonNumber title date av_rating share genres
## <chr> <dbl> <chr> <date> <dbl> <dbl> <chr>
## 1 tt01182~ 1 Buffy the V~ 1997-04-14 7.96 11.7 Action,Dra~
## 2 tt01182~ 2 Buffy the V~ 1997-12-31 8.42 19.4 Action,Dra~
## 3 tt01182~ 3 Buffy the V~ 1999-01-29 8.62 17.1 Action,Dra~
## 4 tt01182~ 4 Buffy the V~ 2000-01-19 8.22 16.2 Action,Dra~
## 5 tt01182~ 5 Buffy the V~ 2001-01-12 8.30 12.0 Action,Dra~
## 6 tt01182~ 6 Buffy the V~ 2002-01-29 8.10 8.45 Action,Dra~
## 7 tt01182~ 7 Buffy the V~ 2003-01-18 8.05 9.89 Action,Dra~
What are the highest rated seasons of TV?
If season 1 is good, what’s the probability they get a season 2?
##
## Call:
## glm(formula = !is.na(season2) ~ season1, data = first_three_seasons)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -0.8945 -0.4984 0.2964 0.4275 0.9611
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.08101 0.22075 -4.897 1.22e-06 ***
## season1 0.20403 0.02779 7.343 5.96e-13 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 0.2312924)
##
## Null deviance: 170.44 on 684 degrees of freedom
## Residual deviance: 157.97 on 683 degrees of freedom
## AIC: 945.05
##
## Number of Fisher Scoring iterations: 2
##
## Call:
## glm(formula = had_second_season ~ season1 * year, family = "binomial",
## data = .)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.8707 -1.1609 0.7349 1.0575 2.3826
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 827.25925 255.08118 3.243 0.00118 **
## season1 -104.23247 32.01611 -3.256 0.00113 **
## year -0.41594 0.12719 -3.270 0.00107 **
## season1:year 0.05242 0.01596 3.284 0.00102 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 946.38 on 684 degrees of freedom
## Residual deviance: 882.18 on 681 degrees of freedom
## AIC: 890.18
##
## Number of Fisher Scoring iterations: 4
Whether a show gets a second season depends on the ratings of the first season