Given the below output, interpret R-squared. Note: the response variable is Charges Coefficients: (Intercept) age bmi Estimate Std. Error t value Pr(>|t|) -5510.16 1814.88 -3.036 0.00244 ** 242.97 22.30 10.893 <2e-16 *** 53.62 5.994 2.64e-09 *** 893.36 -1.097 0.27291 897.84 0.94245 896.58 -1.742 0.08167.. 321.37 0.072 regionnorthwest -979.86 regionsoutheast 64.83 regionsouthwest -1562.19 Signif. codes: 0****' 0.001*** 0.01 0.05. 0.1 1 Residual standard error: 11380 on 1332 degrees of freedom Multiple R-squared: 0.1203, Adjusted R-squared: 0.117 F-statistic: 36.44 on 5 and 1332 DF, p-value: < 2.2e-16 a) 11.7% of the variation in Charges can be explained by the regression model b) 12.03% of the variation in Charges can be explained by the regression model c) 12.03% of the variation in Charges can be explained by the variation of the regression model d) 11.7% of the variation in Charges can be explained by the variation of the regression model

Diameter (d) Independent variable 1. 2. 3. 1.00 m 2.00 m 3.00 m 4.00 m 5.00 m 6.00 m 7.00 m Circumference (C) Dependent variable Average value of C/d Plot a graph (Graph number 1) of the circumference of a circle as a function of the diameter using the information in Data Table 1.1. The following guidelines should be used when plotting graphs: Ratio Cld Make the proper choice of graph paper. Use a pen or a sharp pencil. Write neatly and legibly.

Please do & explain with steps: Subparts e f & g please & thank u

The Transylvania hypothesis claims that the full moon has an effect on health-related behavior. A study investigating this effect found a significant relationship between the phase of the moon and the (x-4) + 100 where y is the number of consultations as a percentage of the daily mean and x is the days since the last full 15.12 number of general practice consultations nationwide, given by y = 1.9 cos moon. a. What is the period of this function? What is the significance of this period? The period is days. (Round to two decimal places as needed.) Choose the correct meaning of the period p in the context of the problem. The x-distance between the maximum and the minimum of the graph is p. Every p days there is a full moon. There were p% more consultations when there was a full moon. The average number of daily consultations is p. b. If there was a full moon on April 7, on what day in April does this formula predict the maximum number of consultations? What percent increase would be…