3 - Sample Calculations - Final

an attempt to develop a model of wine quality as judged by wine​ experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12​wines, a model was created using the percentages of alcohol to predict wine quality. For those​ data, SR=18,671 and SST=27,382.Use this information to complete parts​ (a) through​ (c) below. Please complete part 3(B) ONLY.       Question content area bottom Part 1 a. Determine the coefficient of​ determination, r2​, and interpret its meaning.   r2=0.682 ​(Round to three decimal places as​ needed.)   Part 2 Interpret the meaning of r2.   It means that 68.2 of the variation in wine quality   can be explained by the variation in alcohol content.   ​(Round to one decimal place as​ needed.)   Part 3 b. Determine the standard error of the estimate.   SYX= ​(Round to four decimal places as​ needed.)

Calcium is essential to tree growth because it promotes the formation of wood and maintains cell walls. In 1990, the concentration of calcium in precipitation in a certain area was 0.12 milligrams per liter (mg/L). A random sample of 10 precipitation dates in 2007 results in the following data table. Complete parts (a) through (c) below. Click the icon to view the data table. - Data table (a) State the hypotheses for determining if the mean concentration of calcium precipitation has changed since 1990. Ho: P = 0.12 mg/L H₁: μ # 0.12 mg/L 0.074 0.075 0.071 0.257 0.116 0.177 0.107 0.247 0.333 0.102 (b) Construct a 90% confidence interval about the sample mean concentration of calcium precipitation. The lower bound is The upper bound is Print (Round to four decimal places as needed.) Done X

1

Trace metals in drinking water affect the flavor and an unusually high concentration can pose a health hazard. Ten pairs of data were taken measuring zinc concentration in bottom water and surface water. The raw data provided in table below. Does the data suggest that the true average concentration in the bottom water exceeds that of surface water? Use ?=0.01.

What type of data:  The weight of cars crossing the Golden Gate Bridge. Qualitative Quantitative Discrete Quantitative Continuous

Q1. ‏What is the difference between the types of data 1- categorical data, 2- numerical data, with an example of each type Q2. ‏Explain each of WHAT IF: VARYING A PARAMETE WHAT IF: VARYING A DECISIO ‏WHAT IF: VARYING THE MODEL STRUCTURE

Use the t-test please.

A'6

Make an interpretation for the given picture below. Please refer to the subsequent picture for your guide in constructing your interpretation in the given table.

please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly

To examine bivariate data graphically, the best choice is two side by side histograms? Define this statement?