Ecording to a census company, 7.1% of all babies born are of low birth weight. An obstetrician wanted to know whether mothers between the ages of 35 and 39 years give birth to a higher percentage of lo lected 350 births for which the mother was 35 to 39 years old and found 38 low-birth-weight babies. Complete parts (a) through (c) below. ) If the proportion of low-birth-weight babies for mothers in this age group is 0.071, compute the expected number of low-birth-weight births to 35- to 39-year-old mothers. What is the expected number of re not low birth weight? The expected number of low-birth-weight births to 35- to 39-year-old mothers is 24.85 The expected number of births to mothers 35 to 39 years old that are not low birth weight is 325.15. (Type integers or decimals.) (b) Answer the obstetrician's question at the a = 0.05 level of significance using the chi-square goodness-of-fit test. State the null and alternative hypotheses for this test. Ho: P = 0.071 H: p > 0.071 Use technology to compute the P-value for this test. Use the Tech Help button for further assistance. P-value = (Round to three decimal places as needed.) Enter your answer in the answer box and then click Check Answer. Clear All parts remaining MacBook Air 888 F3 esc & 23 $ 2 3 Y R Q W K G エ LL

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Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.