The standard error of estimate is based on:? squared deviations from the regression line.|negative values.|squared units of the independent variable.|the regression mean square error.
squared deviations from the regression line.
举一反三
- The difference between the sample mean and the population mean is called the: A: population deviation. B: population standard deviation. C: standard error of the mean. D: sampling error.
- Which of the following statements is true? 未知类型：{'options': ['When the standard error of an estimate increases, the confidence interval for the estimate narrows down.', 'Standard error of an estimate does not affect the confidence interval for the estimate.', '', ''], 'type': 102}
- The reliability of a study using multiple regression analysis depends on the following choice including: A: omitted variable bias B: errors-in-variables. C: presence of homoskedasticity in the error term D: external validity
- The standard error of the mean is never larger than the standard deviation of the population.
- The upper and lower limits of a uniform probability distribution are ( ). A: Positive and negative infinity B: Plus and minus three standard deviations C: 0 and 1 D: The maximum and minimum values of the random variable
内容
- 0
From a population of 500 elements, a sample of 225 elements is selected. It is known that the variance of the population is 900. The standard error of the mean is approximately
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数字视频运动估算准则实现优化的梯度搜索方法使用准则是（）。 A: 平均绝对值差值mean absolute difference (MAD) B: 平均平方误差mean squared error (MSE) C: 最小二乘法least-squares D: 位移帧差
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如果预测值和真实值的残差是：(1.0, 2.2, -0.5, 3.1, 0.0), 计算均方差（Mean Squared Error）， 结果是（）。 A: A: 1.16 B: B: 3.04 C: C: 3.14 D: D: 3.925
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The process to evaluate the prediction errors of a machine learning model is called ________() A: Error analysis . B: Bias analysis C: Correlation analysis D: Regression analysis
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If the coefficient of determination is 0.975, then the slope of the regression line: