Linear Regressions Highlighting Significance (may remove)
##
## Call:
## lm(formula = Comfortability ~ is_EM + is_Other + is_Surg, data = comfortability_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.830 -0.564 0.170 0.219 0.436
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8302 0.0592 14.02 <2e-16 ***
## is_EM -0.2661 0.0910 -2.93 0.0039 **
## is_Other -0.0489 0.0801 -0.61 0.5419
## is_Surg -0.1159 0.1296 -0.89 0.3723
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.431 on 166 degrees of freedom
## Multiple R-squared: 0.0538, Adjusted R-squared: 0.0367
## F-statistic: 3.15 on 3 and 166 DF, p-value: 0.0266
##
## Call:
## lm(formula = Preparedness ~ is_EM + is_Other + is_Surg, data = preparedness_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.781 -0.487 0.219 0.226 0.513
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.77358 0.06108 12.67 <2e-16 ***
## is_EM -0.28641 0.09381 -3.05 0.0026 **
## is_Other 0.00767 0.08258 0.09 0.9262
## is_Surg -0.05930 0.13362 -0.44 0.6578
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.445 on 166 degrees of freedom
## Multiple R-squared: 0.0701, Adjusted R-squared: 0.0533
## F-statistic: 4.17 on 3 and 166 DF, p-value: 0.00707
##
## Call:
## lm(formula = Comfortability ~ everyDay + everyWeek + everyMonth +
## every6Month, data = gun_violence_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.812 -0.605 0.210 0.224 0.395
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.7761 0.0535 14.50 <2e-16 ***
## everyDay -0.0488 0.1425 -0.34 0.732
## everyWeek 0.0364 0.1219 0.30 0.766
## everyMonth 0.0134 0.0890 0.15 0.881
## every6Month -0.1709 0.0890 -1.92 0.056 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.438 on 165 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.0293, Adjusted R-squared: 0.00578
## F-statistic: 1.25 on 4 and 165 DF, p-value: 0.294
##
## Call:
## lm(formula = Preparedness ~ everyDay + everyWeek + everyMonth +
## every6Month, data = gun_violence_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.818 -0.632 0.269 0.289 0.368
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.7313 0.0562 13.02 <2e-16 ***
## everyDay 0.0868 0.1496 0.58 0.56
## everyWeek -0.0438 0.1280 -0.34 0.73
## everyMonth -0.0208 0.0934 -0.22 0.82
## every6Month -0.0998 0.0934 -1.07 0.29
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.46 on 165 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.0113, Adjusted R-squared: -0.0127
## F-statistic: 0.471 on 4 and 165 DF, p-value: 0.757
##
## Call:
## lm(formula = Questions_Sections_1 ~ SectionCondition_2 + SectionCondition_3 +
## SectionCondition_4, data = section_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9500 0.0500 0.0882 0.1053 0.1316
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.9118 0.0503 18.13 <2e-16 ***
## SectionCondition_2 -0.0433 0.0692 -0.63 0.53
## SectionCondition_3 0.0382 0.0684 0.56 0.58
## SectionCondition_4 -0.0170 0.0692 -0.25 0.81
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.293 on 146 degrees of freedom
## Multiple R-squared: 0.0108, Adjusted R-squared: -0.00953
## F-statistic: 0.531 on 3 and 146 DF, p-value: 0.662
##
## Call:
## lm(formula = Questions_Sections_2 ~ SectionCondition_2 + SectionCondition_3 +
## SectionCondition_4, data = section_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.950 0.050 0.105 0.118 0.158
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8824 0.0532 16.58 <2e-16 ***
## SectionCondition_2 0.0124 0.0733 0.17 0.87
## SectionCondition_3 0.0676 0.0724 0.93 0.35
## SectionCondition_4 -0.0402 0.0733 -0.55 0.58
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.31 on 146 degrees of freedom
## Multiple R-squared: 0.0163, Adjusted R-squared: -0.00396
## F-statistic: 0.804 on 3 and 146 DF, p-value: 0.493
##
## Call:
## lm(formula = Questions_Sections_3 ~ SectionCondition_2 + SectionCondition_3 +
## SectionCondition_4, data = section_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.882 0.118 0.125 0.132 0.210
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.88235 0.06115 14.43 <2e-16 ***
## SectionCondition_2 -0.09288 0.08417 -1.10 0.27
## SectionCondition_3 -0.00735 0.08317 -0.09 0.93
## SectionCondition_4 -0.01393 0.08417 -0.17 0.87
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.357 on 146 degrees of freedom
## Multiple R-squared: 0.0112, Adjusted R-squared: -0.00908
## F-statistic: 0.553 on 3 and 146 DF, p-value: 0.647
##
## Call:
## lm(formula = Questions_Sections_4 ~ SectionCondition_2 + SectionCondition_3 +
## SectionCondition_4, data = section_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.882 0.118 0.184 0.200 0.263
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8824 0.0681 12.96 <2e-16 ***
## SectionCondition_2 -0.1455 0.0937 -1.55 0.12
## SectionCondition_3 -0.0824 0.0926 -0.89 0.38
## SectionCondition_4 -0.0666 0.0937 -0.71 0.48
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.397 on 146 degrees of freedom
## Multiple R-squared: 0.0165, Adjusted R-squared: -0.00375
## F-statistic: 0.814 on 3 and 146 DF, p-value: 0.488
##
## Call:
## lm(formula = Questions_Sections_5 ~ SectionCondition_2 + SectionCondition_3 +
## SectionCondition_4, data = section_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9118 0.0882 0.1000 0.2105 0.2368
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.9118 0.0627 14.54 <2e-16 ***
## SectionCondition_2 -0.1486 0.0863 -1.72 0.087 .
## SectionCondition_3 -0.0118 0.0853 -0.14 0.890
## SectionCondition_4 -0.1223 0.0863 -1.42 0.159
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.366 on 146 degrees of freedom
## Multiple R-squared: 0.0318, Adjusted R-squared: 0.0119
## F-statistic: 1.6 on 3 and 146 DF, p-value: 0.193
##
## Call:
## lm(formula = Questions_Sections_6 ~ SectionCondition_2 + SectionCondition_3 +
## SectionCondition_4, data = section_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.925 0.075 0.132 0.132 0.147
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8529 0.0563 15.15 <2e-16 ***
## SectionCondition_2 0.0155 0.0775 0.20 0.84
## SectionCondition_3 0.0721 0.0766 0.94 0.35
## SectionCondition_4 0.0155 0.0775 0.20 0.84
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.328 on 146 degrees of freedom
## Multiple R-squared: 0.00733, Adjusted R-squared: -0.0131
## F-statistic: 0.359 on 3 and 146 DF, p-value: 0.782
##
## Call:
## lm(formula = Questions_Sections_7 ~ SectionCondition_2 + SectionCondition_3 +
## SectionCondition_4, data = section_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9737 0.0000 0.0000 0.0263 0.0526
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.00e+00 2.40e-02 41.60 <2e-16 ***
## SectionCondition_2 -5.26e-02 3.31e-02 -1.59 0.11
## SectionCondition_3 -3.16e-17 3.27e-02 0.00 1.00
## SectionCondition_4 -2.63e-02 3.31e-02 -0.80 0.43
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.14 on 146 degrees of freedom
## Multiple R-squared: 0.0243, Adjusted R-squared: 0.0043
## F-statistic: 1.21 on 3 and 146 DF, p-value: 0.307
##
## Call:
## lm(formula = Questions_Script_1 ~ ScriptCondition_2 + ScriptCondition_3 +
## ScriptCondition_4 + ScriptCondition_7 + ScriptCondition_8,
## data = script_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.882 0.118 0.160 0.167 0.333
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.7143 0.0763 9.37 <2e-16 ***
## ScriptCondition_2 0.1190 0.1122 1.06 0.29
## ScriptCondition_3 -0.0476 0.1122 -0.42 0.67
## ScriptCondition_4 0.1257 0.1110 1.13 0.26
## ScriptCondition_7 0.1681 0.1241 1.35 0.18
## ScriptCondition_8 0.1478 0.1069 1.38 0.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.403 on 141 degrees of freedom
## Multiple R-squared: 0.0387, Adjusted R-squared: 0.00459
## F-statistic: 1.13 on 5 and 141 DF, p-value: 0.345
##
## Call:
## lm(formula = Questions_Script_2 ~ ScriptCondition_2 + ScriptCondition_3 +
## ScriptCondition_4 + ScriptCondition_7 + ScriptCondition_8,
## data = script_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.920 0.000 0.143 0.172 0.375
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8571 0.0682 12.57 <2e-16 ***
## ScriptCondition_2 -0.0238 0.1004 -0.24 0.813
## ScriptCondition_3 -0.2321 0.1004 -2.31 0.022 *
## ScriptCondition_4 0.0629 0.0993 0.63 0.528
## ScriptCondition_7 0.1429 0.1110 1.29 0.200
## ScriptCondition_8 -0.0296 0.0956 -0.31 0.758
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.361 on 141 degrees of freedom
## Multiple R-squared: 0.0855, Adjusted R-squared: 0.0531
## F-statistic: 2.64 on 5 and 141 DF, p-value: 0.026
##
## Call:
## lm(formula = Questions_Script_3 ~ ScriptCondition_2 + ScriptCondition_3 +
## ScriptCondition_4 + ScriptCondition_7 + ScriptCondition_8,
## data = script_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.920 -0.583 0.176 0.286 0.417
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.71429 0.08344 8.56 1.7e-14 ***
## ScriptCondition_2 -0.13095 0.12282 -1.07 0.288
## ScriptCondition_3 -0.13095 0.12282 -1.07 0.288
## ScriptCondition_4 0.20571 0.12149 1.69 0.093 .
## ScriptCondition_7 0.10924 0.13575 0.80 0.422
## ScriptCondition_8 0.00985 0.11698 0.08 0.933
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.442 on 141 degrees of freedom
## Multiple R-squared: 0.0704, Adjusted R-squared: 0.0374
## F-statistic: 2.13 on 5 and 141 DF, p-value: 0.0648
##
## Call:
## lm(formula = Questions_Script_4 ~ ScriptCondition_2 + ScriptCondition_3 +
## ScriptCondition_4 + ScriptCondition_7 + ScriptCondition_8,
## data = script_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.760 -0.458 0.276 0.292 0.542
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.71429 0.08791 8.12 2e-13 ***
## ScriptCondition_2 -0.00595 0.12941 -0.05 0.96
## ScriptCondition_3 -0.25595 0.12941 -1.98 0.05 *
## ScriptCondition_4 0.04571 0.12800 0.36 0.72
## ScriptCondition_7 -0.00840 0.14303 -0.06 0.95
## ScriptCondition_8 0.00985 0.12325 0.08 0.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.465 on 141 degrees of freedom
## Multiple R-squared: 0.0456, Adjusted R-squared: 0.0118
## F-statistic: 1.35 on 5 and 141 DF, p-value: 0.247
##
## Call:
## lm(formula = Questions_Script_5 ~ ScriptCondition_2 + ScriptCondition_3 +
## ScriptCondition_4 + ScriptCondition_7 + ScriptCondition_8,
## data = script_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.840 0.160 0.179 0.250 0.375
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8214 0.0818 10.04 <2e-16 ***
## ScriptCondition_2 -0.0714 0.1205 -0.59 0.55
## ScriptCondition_3 -0.1964 0.1205 -1.63 0.11
## ScriptCondition_4 0.0186 0.1192 0.16 0.88
## ScriptCondition_7 -0.0567 0.1332 -0.43 0.67
## ScriptCondition_8 -0.0973 0.1147 -0.85 0.40
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.433 on 141 degrees of freedom
## Multiple R-squared: 0.0272, Adjusted R-squared: -0.00729
## F-statistic: 0.789 on 5 and 141 DF, p-value: 0.559
