Problem 5. Many believes that a correlation exists between state standard test score and how we student is likely to perform at the school. The table below shows the scores from a st standard test (x,) and those from a school test (y,) for eight (8) students in a middle s State Standard Test Score School Test Score 49 67 67 68 74 74 98 92 101 86 119 97 139 74 209 89 You are to compute the least-squares line that best fits the data in the format of the following. 了=h+Ax c. Calculate the value of B. Please round your answer to 3 decimal places. QUESTION 17 Problem 5. Many believes that a correlation exists between state standard test score and how well the student is likely to perform at the school. The table below shows the scores from a state standard test (x,) and those from a school test (y) for eight (8) students in a middle school. State Standard Test Score School Test Score 49 67 67 68 74 74 98 92 101 86 119 97 139 74 209 89 You are to compute the least-squares line that best fits the data in the format of the following. %3D d. Find the value of Bo. Include negative sign if it is a negative number. Please round your answer to 3 decimal places.

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Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.