Комментарии:
后卫
Ответитьexcellent explanation sir🎉
ОтветитьLifesaver
ОтветитьThanks!
ОтветитьWhy didn’t you include the standard error in the equation to predict the price of the house? The formula to predict the y-value is y = B sub 0 + B sub 1 • x + € (that’s supposed to be epsilon).
ОтветитьAbsoulte legend!! Made my home work make sense in 10 minutes.
ОтветитьIn the example, the p-value for the intercept is 0.41919 which is greater than 0.05 right. So what happened to the intercept value? do we use the value of -222.68?
Ответитьhow do i do this on a mac book pro??? I tried holding the alt key pressing t and i and it didn't work for me .
ОтветитьReally detailed video. super helpful!
Ответитьthank you!
Ответитьthanks sir for the great explanation
Ответитьthank you 💙
ОтветитьThis is awesome. Great video.
ОтветитьOutstanding video!
ОтветитьYou're the best instructor ever! Thanks you!
ОтветитьFor every one sq.ft increase, the sale price increases by 2.12 or 2.12 multiplied by 100?
ОтветитьGood Lord I just spent 4 hours worth of Uni classes trying to grasp Linear regression using excel and you taught it to me in 10 minutes. You really just saved me!
ОтветитьMaster class
ОтветитьMatt, your brilliant video explained linear regression perfectly. thankyou.
ОтветитьExcellent video
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