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Anonymous users2024-02-10Summary output Regression statistics.
Multiple coefficients r
The square of the coefficient r.
Adjustment factor. Standard deviation observations are 430
ANOVA:
Regression summary output.
Regression statistics Multir
Factor adjustment factor.
Standard error. Opinion 430
There is also ANOVA.
Regression df ss ms f f shows assistance.
Residual value: 10 40757 407547 - 06 Intercept coefficient, standard error t, statistical p-value, lower95 upper95 Annotation of statistics.
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Anonymous users2024-02-09Summary output. Regression statistics.
Multi-R coefficient. Adjustment factor.
Standard error. Opinion 430 Return to Dongfeng SS Mass Spectrometry f Significance f
Remaining 10 40757 407547 - 06 interception coefficient standard error t statistical p value reduced by 95 upper limit 95
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Anonymous users2024-02-08Summarize the output. Regression statistics.
Multiple R Residence Plaza.
Adjust the r-square.
Standard error. Observe the 430 regression df ss ms f meaning.
10 40757 407547 residues.
Standard error t, statistical interception coefficient, lower95%, upper95%, 47 multiple-choice questions in three types of question types.
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Anonymous users2024-02-07Summary output. Regression statistics.
Multi-R coefficient. Adjustment factor.
Standard error. Opinion 430
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Anonymous users2024-02-06Hypotheses based on the topic.
ho：µ≤h1：µ＞
Test statistic (
p-value = p< , rejecting the null hypothesis.
Therefore, the survey proves that "the average amount of time per household watching TV per day has increased".
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Anonymous users2024-02-05If the average time spent watching TV does not increase, then it should be close enough to there.
Calculate t=(, and then see what the value of this critical value corresponds to in the distribution function of the standard normal distribution, and whether the difference between and is less than the significance level), if it is very close, it means that the current average time of watching TV is not much different from the past, otherwise, vice versa.
Landlord,If you have the right answer, tell me I feel like I'm not doing it right.。。。 Curious how this question is done! Thank you!!
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Anonymous users2024-02-04Absolutely not.
A large average is not necessarily a large number of data.
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