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gung - Reinstate Monica
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Sorry to ask such a blunt question, but I'm running out of time and I just can't figure this seemingly simple thing out. It's the p-value for $B_0$, a single variable regression. $H_0: B_0=0$ and $H_1: B0 \neq 0$. $T_{calc} = (0.5681 - 0)/0.9284 = 0.6119$. Then it says $p\text{-}value=2 \cdot (t>=0,6119) =2 \cdot 0.281525$$p\text{-value}=2 \cdot (t\ge 0,6119) =2 \cdot 0.281525$. Where is this 0.281525$0.281525$ coming from? I know it has something to do with the table. $n=8$.

Sorry again, I have a test coming up, for some reason I can't figure this out. I spent way too much time on this now, watching youtube videos for the past 1.5 hours trying to figure out where this .2815... came from.

Sorry to ask such a blunt question, but I'm running out of time and I just can't figure this seemingly simple thing out. It's the p-value for $B_0$, a single variable regression. $H_0: B_0=0$ and $H_1: B0 \neq 0$. $T_{calc} = (0.5681 - 0)/0.9284 = 0.6119$. Then it says $p\text{-}value=2 \cdot (t>=0,6119) =2 \cdot 0.281525$. Where is this 0.281525 coming from? I know it has something to do with the table. $n=8$.

Sorry again, I have a test coming up, for some reason I can't figure this out. I spent way too much time on this now, watching youtube videos for the past 1.5 hours trying to figure out where this .2815... came from.

Sorry to ask such a blunt question, but I'm running out of time and I just can't figure this seemingly simple thing out. It's the p-value for $B_0$, a single variable regression. $H_0: B_0=0$ and $H_1: B0 \neq 0$. $T_{calc} = (0.5681 - 0)/0.9284 = 0.6119$. Then it says $p\text{-value}=2 \cdot (t\ge 0,6119) =2 \cdot 0.281525$. Where is this $0.281525$ coming from? I know it has something to do with the table. $n=8$.

Sorry again, I have a test coming up, for some reason I can't figure this out. I spent way too much time on this now, watching youtube videos for the past 1.5 hours trying to figure out where this .2815... came from.

Sorry to ask such a blunt question, but I'm running out of time and I just can't figure this seemingly simple thing out. It's the p-value for B0$B_0$, a single variable regression. H0:B0=0 h1:B0!=0. T stat = (0.5681$H_0: B_0=0$ and -0)/0.9284 = 0$H_1: B0 \neq 0$.6119 $T_{calc} = (0.5681 - 0)/0.9284 = 0.6119$. Then it says the p-value=2*(t>=0,6119) =2*0.281525$p\text{-}value=2 \cdot (t>=0,6119) =2 \cdot 0.281525$. Where is this 0.281525 coming from? I know it has something to do with the table. n=8$n=8$.

Sorry again, I have a test coming up, for some reason I can't figure this out. I spent way totoo much time on this now, watching youtube videos for the past 1.5 hours trying to figure out where this .2815.... came from.

Sorry to ask such a blunt question, but I'm running out of time and I just can't figure this seemingly simple thing out. It's the p-value for B0 a single variable regression. H0:B0=0 h1:B0!=0. T stat = (0.5681 -0)/0.9284 = 0.6119. Then it says the p-value=2*(t>=0,6119) =2*0.281525. Where is this 0.281525 coming from? I know it has something to do with the table. n=8.

Sorry again, I have a test coming up, for some reason I can't figure this out. I spent way to much time on this now, watching youtube videos for the past 1.5 hours trying to figure out where this .2815.... came from.

Sorry to ask such a blunt question, but I'm running out of time and I just can't figure this seemingly simple thing out. It's the p-value for $B_0$, a single variable regression. $H_0: B_0=0$ and $H_1: B0 \neq 0$. $T_{calc} = (0.5681 - 0)/0.9284 = 0.6119$. Then it says $p\text{-}value=2 \cdot (t>=0,6119) =2 \cdot 0.281525$. Where is this 0.281525 coming from? I know it has something to do with the table. $n=8$.

Sorry again, I have a test coming up, for some reason I can't figure this out. I spent way too much time on this now, watching youtube videos for the past 1.5 hours trying to figure out where this .2815... came from.

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How was this p-value calculated?

Sorry to ask such a blunt question, but I'm running out of time and I just can't figure this seemingly simple thing out. It's the p-value for B0 a single variable regression. H0:B0=0 h1:B0!=0. T stat = (0.5681 -0)/0.9284 = 0.6119. Then it says the p-value=2*(t>=0,6119) =2*0.281525. Where is this 0.281525 coming from? I know it has something to do with the table. n=8.

Sorry again, I have a test coming up, for some reason I can't figure this out. I spent way to much time on this now, watching youtube videos for the past 1.5 hours trying to figure out where this .2815.... came from.