I get everything. However, is it a positive correlation if x decreases, and y also decreases? I think it is but to graph it wouldn’t you have to put the x and y values in descending order?
What would you conclude from this hypothesis result using beta value and correlation value. i) There is a positive relationship between compensation and rider's retention. Beta Value : -0.379 & Pearson : -0.289 ii) There is a positive relationship between communication and rider's retention. Beta Value : -0.159 & Pearson : 0.110 There is no positive relationship between communication and rider's retention. Beta Value: -0.115 & Pearson : -0.136
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I get everything. However, is it a positive correlation if x decreases, and y also decreases? I think it is but to graph it wouldn’t you have to put the x and y values in descending order?
Jayson the topic you choose is really superb and involve in the subject is mind blowing. Love to watch your vedios instantly.
Really appreciate you saying that - thank you!
Do you need to leave a break from the origin x axis
What would you conclude from this hypothesis result using beta value and correlation value.
i) There is a positive relationship between compensation and
rider's retention. Beta Value : -0.379 & Pearson : -0.289
ii) There is a positive relationship between communication and rider's retention. Beta Value : -0.159 & Pearson : 0.110
There is no positive relationship between communication and rider's retention. Beta Value: -0.115 & Pearson : -0.136
Good 👍😊 explanation 🙏🙏
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What a lovely, thank you sir
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