Good 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!
Why 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).
Yes that's right the presentation of the equation includes an error term, but it is expected to be 0. We don't use it to calculate the least squares line. Standard error is an altogether different term though. If I were calculating a prediction interval or confidence interval then I would need the standard error.
In 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?
Hi. In general we don't do anything with the intercept p-value. It's the slope p-value we are interested in. P-value will always be positive, the -228 number is the t and with such a high t you must have a very low p-value indicating that in all likelihood the slope is not 0,
Good 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!
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Matt, your brilliant video explained linear regression perfectly. thankyou.
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You're the best instructor ever! Thanks you!
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Absoulte legend!! Made my home work make sense in 10 minutes.
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thanks sir for the great explanation
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Really detailed video. super helpful!
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Outstanding video!
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You saved my night! Thank you! [3:25]
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excellent explanation sir🎉
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Excellent video
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thank you 💙
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Thanks!
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thank you!
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This is awesome. Great video.
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Lifesaver
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Master class
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Why 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).
Yes that's right the presentation of the equation includes an error term, but it is expected to be 0. We don't use it to calculate the least squares line. Standard error is an altogether different term though. If I were calculating a prediction interval or confidence interval then I would need the standard error.
In 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?
Hi. In general we don't do anything with the intercept p-value. It's the slope p-value we are interested in. P-value will always be positive, the -228 number is the t and with such a high t you must have a very low p-value indicating that in all likelihood the slope is not 0,
Thank you so much, I understand now👍👍👍
how 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 .
Do you how do you turn on Data Analysis? It's in the Tools menu at the bottom you will see Excel Add ins.
For every one sq.ft increase, the sale price increases by 2.12 or 2.12 multiplied by 100?
The data are in the same scale so it's 2.12/sq ft, but yes to get back to the original data it's 212/sq ft.
后卫
好的